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DBMS > CockroachDB vs. HBase vs. IBM Db2 Event Store vs. Quasardb

System Properties Comparison CockroachDB vs. HBase vs. IBM Db2 Event Store vs. Quasardb

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Editorial information provided by DB-Engines
NameCockroachDB  Xexclude from comparisonHBase  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonQuasardb  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.Wide-column store based on Apache Hadoop and on concepts of BigTableDistributed Event Store optimized for Internet of Things use casesDistributed, high-performance timeseries database
Primary database modelRelational DBMSWide column storeEvent Store
Time Series DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.73
Rank#58  Overall
#34  Relational DBMS
Score27.97
Rank#26  Overall
#2  Wide column stores
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Websitewww.cockroachlabs.comhbase.apache.orgwww.ibm.com/­products/­db2-event-storequasar.ai
Technical documentationwww.cockroachlabs.com/­docshbase.apache.org/­book.htmlwww.ibm.com/­docs/­en/­db2-event-storedoc.quasar.ai/­master
DeveloperCockroach LabsApache Software Foundation infoApache top-level project, originally developed by PowersetIBMquasardb
Initial release2015200820172009
Current release24.1.0, May 20242.3.4, January 20212.03.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0, commercial license availableOpen Source infoApache version 2commercial infofree developer edition availablecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaC and C++C++
Server operating systemsLinux
macOS
Windows
Linux
Unix
Windows infousing Cygwin
Linux infoLinux, macOS, Windows for the developer additionBSD
Linux
OS X
Windows
Data schemedynamic schemaschema-free, schema definition possibleyesschema-free
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROyesyes infointeger and binary
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 indexesyesnonoyes infowith tags
SQL infoSupport of SQLyes, wire compatible with PostgreSQLnoyes infothrough the embedded Spark runtimeSQL-like query language
APIs and other access methodsJDBCJava API
RESTful HTTP API
Thrift
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
HTTP API
Supported programming languagesC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
C
C#
C++
Groovy
Java
PHP
Python
Scala
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnoyes infoCoprocessors in Javayesno
Triggersnoyesnono
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 RAFTShardingShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTMulti-source replication
Source-replica replication
Active-active shard replicationSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDSingle row ACID (across millions of columns)noACID
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutableyes
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes infoTransient mode
User concepts infoAccess controlRole-based access controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACfine grained access rights according to SQL-standardCryptographically strong user authentication and audit trail

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More resources
CockroachDBHBaseIBM Db2 Event StoreQuasardb
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