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DBMS > CockroachDB vs. Datomic vs. HBase vs. QuestDB vs. STSdb

System Properties Comparison CockroachDB vs. Datomic vs. HBase vs. QuestDB vs. STSdb

Editorial information provided by DB-Engines
NameCockroachDB  Xexclude from comparisonDatomic  Xexclude from comparisonHBase  Xexclude from comparisonQuestDB  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityWide-column store based on Apache Hadoop and on concepts of BigTableA high performance open source SQL database for time series dataKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelRelational DBMSRelational DBMSWide column storeTime Series DBMSKey-value store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.15
Rank#55  Overall
#33  Relational DBMS
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Websitewww.cockroachlabs.comwww.datomic.comhbase.apache.orgquestdb.iogithub.com/­STSSoft/­STSdb4
Technical documentationwww.cockroachlabs.com/­docsdocs.datomic.comhbase.apache.org/­book.htmlquestdb.io/­docs
DeveloperCockroach LabsCognitectApache Software Foundation infoApache top-level project, originally developed by PowersetQuestDB Technology IncSTS Soft SC
Initial release20152012200820142011
Current release23.1.1, May 20231.0.6735, June 20232.3.4, January 20214.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache 2.0, commercial license availablecommercial infolimited edition freeOpen Source infoApache version 2Open Source infoApache 2.0Open Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJava, ClojureJavaJava (Zero-GC), C++, RustC#
Server operating systemsLinux
macOS
Windows
All OS with a Java VMLinux
Unix
Windows infousing Cygwin
Linux
macOS
Windows
Windows
Data schemedynamic schemayesschema-free, schema definition possibleyes infoschema-free via InfluxDB Line Protocolyes
Typing infopredefined data types such as float or dateyesyesoptions to bring your own types, AVROyesyes infoprimitive types and user defined types (classes)
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nononono
Secondary indexesyesyesnonono
SQL infoSupport of SQLyes, wire compatible with PostgreSQLnonoSQL with time-series extensionsno
APIs and other access methodsJDBCRESTful HTTP APIJava API
RESTful HTTP API
Thrift
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
.NET Client API
Supported programming languagesC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Clojure
Java
C
C#
C++
Groovy
Java
PHP
Python
Scala
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C#
Java
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsyes infoCoprocessors in Javanono
TriggersnoBy using transaction functionsyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTnone infoBut extensive use of caching in the application peersShardinghorizontal partitioning (by timestamps)none
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTnone infoBut extensive use of caching in the application peersMulti-source replication
Source-replica replication
Source-replica replication with eventual consistencynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDSingle row ACID (across millions of columns)ACID for single-table writesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentyesyes infothrough memory mapped files
User concepts infoAccess controlRole-based access controlnoAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACno
More information provided by the system vendor
CockroachDBDatomicHBaseQuestDBSTSdb
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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