We launched this dedicated index for OS databases because databases are a crucial component of the modern IT infrastructure and their open-source development rapidly gains momentum. According to DB-Engines, in 2021 open-source database solutions have finally overcome their closed-source rivals by popularity.
Age | Github repo age in years |
⭐️ | Github repo stars |
⑂ | Github repo forks |
NC | new contributors, who made their first commit in the repo in the last 12 months |
AC | active contributors, who made commits in the repo in the last 12 months |
TC | total contributors, who made commits in the repo since its inception |
SG | annual star growth |
ACG | annual active contributors’ growth |
TCG | annual total contributors’ growth |
HHI | the Herfindahl-Hirschman Index is calculated by the share of commits (decentralization metric) |
Name | Origin | Github | Age | ⭐️ | ⑂ | ⚠️ | NC | AC | TC | contributors_qualified | AQC_4Q | Avg_DAU | Avg_WAU | Avg_QAU | SG | ACG | TCG | HHI |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
YDB | 🇷🇺 | 2.2 | 3,399 | 413 | 346 | 528 | 1,855 | 21 | 65 | 23 | 129 | |||||||
ClickHouse | 🇷🇺 | 7.9 | 34,047 | 6,452 | 247 | 439 | 1,719 | 21 | 9 | 17 | 658 | |||||||
Spark SQL | 🇺🇸 | 10.1 | 38,296 | 27,927 | 174 | 349 | 2,743 | 8 | 13 | 7 | 123 | |||||||
MongoDB | 🇺🇸 | 15.3 | 25,395 | 5,467 | 95 | 305 | 1,000 | 8 | 13 | 11 | 179 | |||||||
Doris | 🇨🇳 | 6.7 | 11,304 | 3,039 | 142 | 293 | 627 | 45 | 14 | 29 | 154 | |||||||
Elasticsearch | 🇺🇸 | 14.2 | 67,488 | 24,069 | 130 | 273 | 2,037 | 7 | 11 | 7 | 192 | |||||||
Velox | 🇺🇸 | 2.7 | 3,124 | 1,036 | 130 | 225 | 410 | 37 | 14 | 46 | 465 | |||||||
DataFusion | 🇺🇸 | 3.0 | 4,920 | 903 | 140 | 223 | 552 | 41 | 42 | 34 | 346 | |||||||
OceanBase | 🇨🇳 | 2.9 | 7,342 | 1,504 | 135 | 223 | 385 | 33 | 66 | 54 | 1,478 | |||||||
StarRocks | 🇨🇳 | 2.6 | 7,726 | 1,600 | 98 | 208 | 366 | 80 | -3 | 37 | 206 | |||||||
YugabyteDB | 🇺🇸 | 6.5 | 8,471 | 1,021 | 60 | 196 | 497 | 10 | -7 | 14 | 136 | |||||||
Trino | 🇺🇸 | 5.2 | 9,537 | 2,764 | 73 | 193 | 861 | 25 | 2 | 9 | 540 | |||||||
DuckDB | 🇳🇱 | 5.8 | 16,467 | 1,440 | 130 | 191 | 383 | 72 | 37 | 51 | 1,512 | |||||||
CockroachDB | 🇺🇸 | 10.2 | 29,019 | 3,614 | 65 | 187 | 861 | 8 | -3 | 8 | 610 | |||||||
Prometheus | 🇩🇪 | 11.4 | 52,630 | 8,730 | 101 | 183 | 977 | 11 | 10 | 12 | 465 | |||||||
PrestoDB | 🇺🇸 | 11.7 | 15,579 | 5,247 | 86 | 170 | 819 | 7 | 8 | 12 | 370 | |||||||
TiDB | 🇺🇸 | 8.6 | 36,081 | 5,708 | 49 | 163 | 897 | 7 | -21 | 6 | 172 | |||||||
Greenplum | 🇺🇸 | 8.5 | 6,199 | 1,699 | 37 | 149 | 550 | 9 | 3 | 7 | 1,042 | |||||||
Hadoop | 🇺🇸 | 9.6 | 14,295 | 8,698 | 66 | 145 | 754 | 7 | 6 | 10 | 119 | |||||||
ShardingSphere | 🇨🇳 | 8.3 | 19,421 | 6,603 | 84 | 133 | 649 | 7 | -28 | 15 | 1,559 | |||||||
Delta Lake | 🇺🇸 | 5.0 | 6,860 | 1,569 | 56 | 131 | 315 | 17 | -14 | 22 | 238 | |||||||
Percona Server | 🇺🇸 | 9.2 | 1,088 | 468 | 19 | 128 | 1,803 | 9 | -28 | 1 | 70 | |||||||
MySQL | 🇸🇪 | 9.6 | 10,207 | 3,697 | 11 | 120 | 1,547 | 14 | -14 | 1 | 94 | |||||||
Druid | 🇺🇸 | 11.5 | 13,185 | 3,633 | 53 | 116 | 641 | 5 | 0 | 9 | 695 | |||||||
Pinot | 🇺🇸 | 9.9 | 5,118 | 1,202 | 55 | 113 | 356 | 14 | 3 | 18 | 335 | |||||||
RocksDB | 🇺🇸 | 11.4 | 27,331 | 6,093 | 67 | 108 | 988 | 10 | -17 | 7 | 296 | |||||||
Lucene | 🇺🇸 | 3.2 | 2,341 | 930 | 53 | 108 | 447 | 44 | 32 | 14 | 402 | |||||||
Redis | 🇮🇹 | 15.1 | 64,701 | 23,435 | 48 | 98 | 768 | 9 | -20 | 7 | 3,437 | |||||||
Chroma | 🇺🇸 | 1.5 | 12,088 | 1,007 | 81 | 98 | 105 | 228 | 338 | 1,723 | ||||||||
Hive | 🇺🇸 | 14.9 | 5,318 | 4,589 | 37 | 92 | 545 | 12 | -10 | 7 | 232 | |||||||
MariaDB | 🇸🇪 | 9.9 | 5,281 | 1,630 | 30 | 92 | 1,739 | 11 | -19 | 2 | 71 | |||||||
VictoriaMetrics | 🇺🇦 | 5.6 | 10,804 | 1,082 | 61 | 91 | 244 | 30 | 0 | 33 | 4,788 | |||||||
Vitess | 🇺🇸 | 10.8 | 17,812 | 2,030 | 40 | 89 | 438 | 12 | 46 | 10 | 556 | |||||||
Cassandra | 🇺🇸 | 14.9 | 8,506 | 3,537 | 29 | 87 | 554 | 8 | 9 | 6 | 716 | |||||||
Neo4j | 🇸🇪 | 11.4 | 12,427 | 2,312 | 12 | 82 | 346 | 10 | 12 | 4 | 339 | |||||||
RisingWave | 🇺🇸 | 2.2 | 6,269 | 507 | 21 | 82 | 153 | 51 | -31 | 16 | 274 | |||||||
ByConity | 🇨🇳 | 1.3 | 1,570 | 278 | 53 | 81 | 1,013 | 603 | 6 | 1,141 | ||||||||
TDengine | 🇨🇳 | 4.8 | 22,784 | 4,797 | 28 | 80 | 230 | 8 | -11 | 14 | 699 | |||||||
HBase | 🇺🇸 | 9.9 | 5,112 | 3,291 | 37 | 79 | 652 | 6 | -8 | 6 | 902 | |||||||
Milvus | 🇨🇳 | 4.6 | 26,634 | 2,559 | 31 | 77 | 267 | 55 | 19 | 13 | 243 | |||||||
Neon | 🇺🇸 | 3.1 | 12,129 | 344 | 44 | 75 | 107 | 64 | 44 | 70 | 485 | |||||||
Qdrant | 🇩🇪 | 3.9 | 17,771 | 1,186 | 55 | 74 | 98 | 199 | 270 | 128 | 1,720 | |||||||
Hazelcast | 🇺🇸 | 12.1 | 5,859 | 1,793 | 24 | 73 | 442 | 12 | 11 | 6 | 417 | |||||||
FoundationDB | 🇺🇸 | 6.3 | 13,950 | 1,272 | 27 | 73 | 285 | 14 | -23 | 11 | 375 | |||||||
GreptimeDB | 🇨🇳 | 2.0 | 3,721 | 265 | 48 | 72 | 88 | 44 | 120 | 720 | ||||||||
Databend | 🇨🇳 | 3.5 | 7,167 | 693 | 29 | 71 | 211 | 24 | -35 | 16 | 656 | |||||||
Pika | 🇨🇳 | 9.5 | 5,661 | 1,163 | 58 | 70 | 131 | 13 | 483 | 80 | 806 | |||||||
Scylla | 🇮🇱 | 9.3 | 12,488 | 1,197 | 23 | 69 | 172 | 28 | 10 | 15 | 525 | |||||||
Materialize | 🇺🇸 | 5.2 | 5,559 | 450 | 15 | 69 | 154 | 11 | -6 | 11 | 593 | |||||||
SurrealDB | 🇬🇧 | 2.4 | 25,116 | 774 | 55 | 66 | 103 | 28 | 50 | 115 | 5,494 | |||||||
TiKV | 🇨🇳 | 8.3 | 14,475 | 2,065 | 19 | 64 | 423 | 13 | -30 | 5 | 358 | |||||||
Kvrocks | 🇨🇳 | 4.7 | 3,216 | 423 | 44 | 64 | 116 | 59 | 28 | 61 | 1,163 | |||||||
libSQL | 🇺🇸 | 1.6 | 7,653 | 190 | 42 | 62 | 102 | 197 | 70 | 2,584 | ||||||||
Weaviate | 🇳🇱 | 8.1 | 9,418 | 630 | 41 | 61 | 103 | 89 | 69 | 66 | 1,328 | |||||||
FerretDB | 🇺🇸 | 2.5 | 8,504 | 366 | 50 | 61 | 96 | 36 | 110 | 109 | 2,858 | |||||||
MatrixOne | 🇨🇳 | 3.2 | 1,673 | 259 | 14 | 59 | 118 | 15 | -39 | 14 | 323 | |||||||
Dragonfly | 🇮🇱 | 2.4 | 23,727 | 858 | 40 | 59 | 99 | 25 | 16 | 68 | 1,882 | |||||||
Impala | 🇺🇸 | 8.0 | 1,075 | 487 | 19 | 57 | 264 | 14 | 30 | 8 | 286 | |||||||
LanceDB | 🇺🇸 | 1.1 | 2,725 | 172 | 53 | 55 | 55 | 30,089 | 2,650 | 1,021 | ||||||||
QuestDB | 🇬🇧 | 10.0 | 13,435 | 975 | 35 | 54 | 146 | 22 | -7 | 32 | 3,796 | |||||||
Meilisearch | 🇫🇷 | 6.0 | 43,140 | 1,615 | 34 | 51 | 187 | 21 | -40 | 22 | 1,348 | |||||||
Vespa | 🇳🇴 | 7.9 | 5,328 | 564 | 20 | 49 | 139 | 24 | 9 | 17 | 688 | |||||||
RxDB | 🇩🇪 | 7.4 | 20,541 | 1,003 | 31 | 47 | 230 | 8 | -10 | 16 | 3,386 | |||||||
Tarantool | 🇷🇺 | 13.6 | 3,328 | 373 | 7 | 45 | 186 | 6 | -6 | 4 | 752 | |||||||
EdgeDB | 🇨🇦 | 6.8 | 12,236 | 378 | 25 | 44 | 120 | 13 | -6 | 26 | 2,145 | |||||||
ksqlDB | 🇺🇸 | 7.6 | 5,810 | 1,030 | 16 | 42 | 207 | 6 | -16 | 8 | 2,436 | |||||||
TigerBeetle | 🇿🇦 | 4.0 | 6,867 | 347 | 31 | 42 | 67 | 199 | 50 | 86 | 1,243 | |||||||
WiredTiger | 🇦🇺 | 12.4 | 2,139 | 377 | 12 | 40 | 91 | 5 | 11 | 15 | 2,247 | |||||||
Ignite | 🇺🇸 | 9.2 | 4,679 | 1,886 | 15 | 39 | 403 | 6 | -20 | 4 | 333 | |||||||
Zookeeper | 🇺🇸 | 15.1 | 11,920 | 7,143 | 27 | 38 | 289 | 7 | 9 | 10 | 597 | |||||||
RavenDB | 🇮🇱 | 14.1 | 3,437 | 818 | 5 | 38 | 365 | 7 | -10 | 1 | 1,103 | |||||||
InfluxDB | 🇺🇸 | 10.6 | 27,687 | 3,480 | 9 | 38 | 631 | 10 | -44 | 2 | 252 | |||||||
Citus | 🇹🇷 | 8.2 | 9,785 | 633 | 20 | 38 | 100 | 19 | 23 | 25 | 501 | |||||||
Kylin | 🇨🇳 | 9.3 | 3,601 | 1,529 | 14 | 37 | 58 | 4 | -16 | 32 | 503 | |||||||
bbolt | 🇺🇸 | 6.8 | 7,583 | 592 | 21 | 35 | 210 | 19 | 150 | 11 | 1,973 | |||||||
Infinispan | 🇺🇸 | 13.5 | 1,123 | 609 | 14 | 34 | 239 | 8 | 31 | 6 | 578 | |||||||
Dolt | 🇺🇸 | 4.7 | 16,919 | 474 | 15 | 34 | 128 | 16 | -19 | 13 | 645 | |||||||
AGEDB | 🇨🇦 | 3.8 | 2,655 | 384 | 20 | 34 | 82 | 62 | -24 | 32 | 1,208 | |||||||
PostgreSQL | 🇺🇸 | 13.6 | 14,641 | 4,291 | 6 | 32 | 58 | 20 | 23 | 12 | 1,496 | |||||||
ReadySet | 🇺🇸 | 1.9 | 3,862 | 104 | 18 | 32 | 98 | 93 | 23 | 1,362 | ||||||||
TimescaleDB | 🇺🇸 | 7.1 | 16,434 | 834 | 5 | 30 | 99 | 11 | -19 | 5 | 1,061 | |||||||
Event Store | 🇬🇧 | 11.6 | 5,072 | 635 | 11 | 29 | 160 | 5 | 16 | 7 | 735 | |||||||
Bedrock | 🇺🇸 | 7.6 | 1,044 | 81 | 9 | 29 | 77 | 11 | 16 | 13 | 3,176 | |||||||
Nebula Graph | 🇨🇳 | 5.6 | 10,102 | 1,148 | 10 | 29 | 107 | 13 | -40 | 10 | 484 | |||||||
NutsDB | 🇨🇳 | 5.4 | 3,287 | 323 | 24 | 29 | 59 | 17 | 21 | 69 | 3,089 | |||||||
Vearch | 🇨🇳 | 4.9 | 1,901 | 314 | 24 | 29 | 62 | 24 | 867 | 63 | 1,369 | |||||||
TuGraph | 🇨🇳 | 1.7 | 1,152 | 159 | 13 | 29 | 35 | 103 | 59 | 774 | ||||||||
ArangoDB | 🇩🇪 | 12.5 | 13,340 | 830 | 2 | 27 | 157 | 4 | -21 | 1 | 1,551 | |||||||
DGraph | 🇺🇸 | 8.7 | 20,046 | 1,471 | 7 | 27 | 219 | 5 | 4 | 3 | 546 | |||||||
HugeGraph | 🇨🇳 | 5.8 | 2,544 | 498 | 19 | 27 | 71 | 14 | -7 | 37 | 2,074 | |||||||
Memgraph | 🇬🇧 | 3.6 | 2,074 | 95 | 11 | 27 | 64 | 59 | 13 | 21 | 688 | |||||||
CrateDB | 🇦🇹 | 11.0 | 3,955 | 547 | 13 | 26 | 127 | 8 | 44 | 11 | 2,016 | |||||||
Firebird | 🇺🇸 | 8.1 | 1,174 | 204 | 8 | 26 | 98 | 11 | 37 | 9 | 1,033 | |||||||
CeresDB | 🇨🇳 | 1.9 | 2,481 | 187 | 15 | 26 | 39 | 21 | 63 | 1,293 | ||||||||
HoraeDB | 🇨🇳 | 1.9 | 2,481 | 187 | 15 | 26 | 39 | 21 | 63 | 1,293 | ||||||||
TileDB | 🇺🇸 | 7.1 | 1,760 | 180 | 7 | 25 | 73 | 18 | -4 | 11 | 1,069 | |||||||
Manticore Search | 🇬🇧 | 6.8 | 8,278 | 463 | 12 | 25 | 77 | 169 | 4 | 19 | 1,030 | |||||||
OpenMLDB | 🇨🇳 | 3.1 | 1,545 | 306 | 14 | 25 | 191 | 13 | -76 | 8 | 857 | |||||||
SpiceDB | 🇺🇸 | 2.7 | 4,480 | 242 | 17 | 25 | 43 | 33 | 39 | 65 | 2,112 | |||||||
CouchDB | 🇺🇸 | 14.9 | 6,007 | 1,014 | 11 | 24 | 237 | 6 | -4 | 5 | 558 | |||||||
BadgerDB | 🇺🇸 | 7.2 | 13,344 | 1,140 | 17 | 24 | 174 | 10 | 300 | 11 | 1,015 | |||||||
Immudb | 🇺🇸 | 4.5 | 8,481 | 335 | 9 | 24 | 71 | 4 | 14 | 15 | 2,819 | |||||||
CnosDB | 🇨🇳 | 2.5 | 1,569 | 311 | 11 | 24 | 34 | 26 | 14 | 48 | 1,098 | |||||||
Infinity | 🇨🇳 | 1.8 | 1,616 | 123 | 22 | 24 | 24 | 1,100 | 3,138 | |||||||||
KahaDB | 🇺🇸 | 14.9 | 2,249 | 1,429 | 13 | 22 | 179 | 5 | 38 | 8 | 923 | |||||||
Accumulo | 🇺🇸 | 12.5 | 1,045 | 443 | 7 | 21 | 197 | 9 | -9 | 4 | 1,032 | |||||||
Jena | 🇬🇧 | 11.3 | 1,049 | 633 | 11 | 21 | 125 | 11 | -25 | 10 | 6,028 | |||||||
Comdb2 | 🇺🇸 | 6.9 | 1,284 | 206 | 8 | 21 | 70 | 7 | 24 | 13 | 1,044 | |||||||
Kudu | 🇺🇸 | 8.2 | 1,796 | 642 | 5 | 20 | 177 | 6 | -5 | 3 | 1,060 | |||||||
BusTub | 🇺🇸 | 4.6 | 3,643 | 1,672 | 14 | 20 | 91 | 48 | -41 | 18 | 1,475 | |||||||
PouchDB | 🇺🇸 | 13.9 | 16,267 | 1,439 | 12 | 19 | 418 | 4 | -30 | 3 | 1,048 | |||||||
AlaSQL | 🇷🇺 | 9.5 | 6,886 | 639 | 13 | 18 | 92 | 5 | 39 | 17 | 3,397 | |||||||
HeavyDB | 🇺🇸 | 7.0 | 2,901 | 443 | 2 | 18 | 104 | 5 | -28 | 2 | 1,023 | |||||||
H2 | 🇨🇭 | 9.0 | 4,042 | 1,168 | 11 | 16 | 192 | 10 | 0 | 6 | 2,870 | |||||||
FeatureBase | 🇺🇸 | 8.7 | 2,525 | 229 | 1 | 16 | 68 | 3 | -48 | 2 | 1,002 | |||||||
FlashDB | 🇨🇳 | 3.9 | 1,611 | 384 | 13 | 16 | 42 | 33 | 33 | 45 | 5,298 | |||||||
Marqo | 🇦🇺 | 1.7 | 4,095 | 171 | 6 | 16 | 30 | 47 | 25 | 1,803 | ||||||||
CozoDB | 🇬🇧 | 1.5 | 3,082 | 84 | 13 | 16 | 19 | 43 | 217 | 9,250 | ||||||||
Drill | 🇺🇸 | 11.6 | 1,890 | 978 | 5 | 15 | 221 | 5 | -25 | 2 | 296 | |||||||
rqlite | 🇺🇸 | 9.7 | 14,834 | 676 | 14 | 15 | 46 | 11 | 114 | 44 | 9,676 | |||||||
JunoDB | 🇺🇸 | 1.2 | 2,470 | 156 | 5 | 15 | 17 | 48,580 | 42 | 2,465 | ||||||||
LiteDB | 🇧🇷 | 9.7 | 8,217 | 1,199 | 11 | 14 | 115 | 11 | 27 | 11 | 6,693 | |||||||
Gaffer | 🇬🇧 | 8.3 | 1,730 | 353 | 7 | 14 | 69 | 2 | 17 | 11 | 2,245 | |||||||
redb | 🇺🇸 | 5.6 | 2,888 | 124 | 11 | 14 | 20 | 110 | 56 | 122 | 8,898 | |||||||
FrostDB | 🇺🇸 | 2.1 | 1,206 | 63 | 7 | 14 | 31 | 22 | 29 | 2,125 | ||||||||
Memcached | 🇺🇸 | 15.0 | 13,177 | 3,239 | 6 | 13 | 250 | 5 | -38 | 3 | 2,282 | |||||||
FiloDB | 🇺🇸 | 9.3 | 1,412 | 229 | 4 | 13 | 70 | 3 | -13 | 6 | 1,059 | |||||||
JanusGraph | 🇺🇸 | 7.3 | 5,085 | 1,139 | 4 | 13 | 187 | 6 | -28 | 2 | 1,233 | |||||||
RoseDB | 🇨🇳 | 3.4 | 4,340 | 609 | 12 | 13 | 52 | 20 | -28 | 30 | 4,004 | |||||||
M3DB | 🇺🇸 | 7.8 | 4,642 | 444 | 4 | 12 | 117 | 6 | 9 | 4 | 562 | |||||||
RedisGraph | 🇺🇸 | 7.1 | 1,958 | 228 | 1 | 12 | 57 | 6 | -48 | 2 | 1,556 | |||||||
Crux | 🇬🇧 | 6.1 | 2,438 | 159 | 5 | 12 | 16 | 12 | 20 | 46 | 2,869 | |||||||
XTDB | 🇬🇧 | 6.1 | 2,438 | 159 | 5 | 12 | 16 | 12 | 20 | 46 | 2,869 | |||||||
PocketBase | 🇧🇬 | 1.8 | 32,971 | 1,459 | 10 | 12 | 39 | 47 | 35 | 9,298 | ||||||||
Irmin | 🇫🇷 | 11.0 | 1,792 | 153 | 4 | 11 | 71 | 6 | -42 | 6 | 2,800 | |||||||
TypeDB | 🇬🇧 | 7.8 | 3,669 | 334 | 5 | 11 | 81 | 9 | 0 | 7 | 746 | |||||||
FASTER | 🇺🇸 | 5.7 | 6,195 | 554 | 5 | 11 | 67 | 12 | -8 | 8 | 5,309 | |||||||
RisingLight | 🇺🇸 | 2.7 | 1,530 | 207 | 7 | 11 | 62 | 31 | -69 | 13 | 1,145 | |||||||
OrioleDB | 🇧🇾 | 2.4 | 2,603 | 102 | 5 | 11 | 19 | 85 | -15 | 36 | 4,334 | |||||||
TinyBase | 🇺🇸 | 2.3 | 2,941 | 59 | 9 | 11 | 13 | 65 | 1,000 | 225 | 9,651 | |||||||
Mondrian | 🇺🇸 | 12.1 | 1,118 | 707 | 3 | 10 | 146 | 4 | 43 | 2 | 1,286 | |||||||
SirixDB | 🇩🇪 | 11.9 | 1,079 | 232 | 4 | 10 | 66 | 31 | -29 | 7 | 2,427 | |||||||
Ehcache | 🇺🇸 | 10.1 | 1,957 | 575 | 1 | 10 | 76 | 4 | -41 | 1 | 1,135 | |||||||
GUN | 🇺🇸 | 9.7 | 17,769 | 1,143 | 5 | 10 | 153 | 4 | -29 | 3 | 4,848 | |||||||
OrientDB | 🇬🇧 | 11.4 | 4,690 | 866 | 4 | 9 | 204 | 3 | -18 | 2 | 1,148 | |||||||
OrbitDB | 🇩🇪 | 8.3 | 8,107 | 554 | 4 | 9 | 73 | 7 | -18 | 6 | 3,123 | |||||||
Tile38 | 🇺🇸 | 8.1 | 8,895 | 553 | 7 | 9 | 61 | 5 | 29 | 13 | 6,282 | |||||||
Datalevin | 🇺🇸 | 3.9 | 1,024 | 60 | 5 | 9 | 76 | 14 | -18 | 7 | 6,291 | |||||||
chDB | 🇸🇬 | 1.1 | 1,682 | 62 | 9 | 9 | 10 | 3,198 | 900 | 5,178 | ||||||||
DataStax | 🇺🇸 | 9.8 | 1,930 | 914 | 5 | 8 | 127 | 2 | 0 | 4 | 1,773 | |||||||
Chronicle Map | 🇬🇧 | 9.8 | 2,679 | 463 | 4 | 8 | 66 | 4 | -33 | 7 | 1,413 | |||||||
Dqlite | 🇮🇹 | 6.9 | 3,711 | 210 | 5 | 8 | 32 | 11 | 14 | 19 | 4,344 | |||||||
Datahike | 🇩🇪 | 6.3 | 1,577 | 96 | 4 | 8 | 72 | 4 | -11 | 6 | 1,719 | |||||||
Hive (Dart) | 🇩🇪 | 4.8 | 3,864 | 384 | 3 | 8 | 56 | 11 | -50 | 6 | 3,272 | |||||||
TerminusDB | 🇮🇪 | 4.7 | 2,618 | 101 | 2 | 8 | 25 | 17 | 0 | 9 | 3,330 | |||||||
Quokka | 🇺🇸 | 2.4 | 1,081 | 57 | 4 | 7 | 18 | 26 | -42 | 29 | 6,902 | |||||||
KairosDB | 🇺🇸 | 11.2 | 1,724 | 345 | 0 | 6 | 89 | 2 | 100 | 0 | 2,579 | |||||||
DataScript | 🇷🇺 | 10.0 | 5,343 | 295 | 4 | 6 | 72 | 5 | 20 | 6 | 5,833 | |||||||
Xodus | 🇷🇺 | 10.0 | 1,157 | 107 | 3 | 6 | 36 | 8 | 50 | 9 | 4,706 | |||||||
LevelDB | 🇺🇸 | 9.6 | 35,006 | 7,631 | 0 | 6 | 70 | 8 | -57 | 0 | 1,855 | |||||||
Geode | 🇺🇸 | 9.0 | 2,266 | 681 | 4 | 6 | 196 | 3 | -84 | 2 | 335 | |||||||
IceFireDB | 🇨🇳 | 3.1 | 1,075 | 72 | 3 | 6 | 16 | 11 | -25 | 23 | 4,483 | |||||||
EVCache | 🇺🇸 | 11.2 | 1,965 | 242 | 1 | 5 | 43 | 6 | -29 | 2 | 5,156 | |||||||
Atlas | 🇺🇸 | 9.7 | 3,388 | 278 | 2 | 5 | 28 | 6 | 25 | 8 | 8,892 | |||||||
Kinto | 🇪🇸 | 9.1 | 4,297 | 418 | 2 | 5 | 136 | 1 | -29 | 2 | 1,880 | |||||||
ObjectBox | 🇩🇪 | 7.2 | 4,303 | 296 | 2 | 5 | 12 | 4 | 0 | 20 | 4,803 | |||||||
BaikalDB | 🇨🇳 | 5.7 | 1,142 | 170 | 2 | 5 | 21 | 10 | -17 | 11 | 2,386 | |||||||
SQLite | 🇺🇸 | 5.1 | 5,434 | 859 | 0 | 5 | 37 | 41 | -17 | 0 | 3,095 | |||||||
OpenTSDB | 🇺🇸 | 13.6 | 4,947 | 1,251 | 2 | 4 | 173 | 3 | 300 | 1 | 3,049 | |||||||
TinyDB | 🇩🇪 | 10.8 | 6,499 | 513 | 2 | 4 | 82 | 12 | -33 | 3 | 6,476 | |||||||
Cayley | 🇺🇸 | 9.9 | 14,766 | 1,250 | 3 | 4 | 115 | 2 | 300 | 3 | 1,784 | |||||||
Genji | 🇦🇪 | 5.8 | 1,449 | 82 | 2 | 4 | 29 | 22 | 0 | 7 | 7,233 | |||||||
Tendis | 🇨🇳 | 3.3 | 2,819 | 313 | 1 | 4 | 22 | 10 | -33 | 5 | 1,744 | |||||||
EJDB | 🇷🇺 | 11.5 | 1,427 | 129 | 2 | 3 | 31 | 4 | 0 | 7 | 8,634 | |||||||
LowDB | 10.0 | 20,841 | 895 | 2 | 3 | 42 | 8 | -25 | 5 | 7,632 | ||||||||
Sled | 🇩🇪 | 8.3 | 7,735 | 375 | 3 | 3 | 76 | 13 | -25 | 4 | 6,160 | |||||||
Pogreb | 🇺🇸 | 6.3 | 1,221 | 89 | 2 | 3 | 10 | 18 | 987,654 | 25 | 7,275 |
What are other OS areas that need to be covered?
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