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DBMS > CockroachDB vs. Elasticsearch vs. FatDB vs. IBM Db2 Event Store

System Properties Comparison CockroachDB vs. Elasticsearch vs. FatDB vs. IBM Db2 Event Store

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Editorial information provided by DB-Engines
NameCockroachDB  Xexclude from comparisonElasticsearch  Xexclude from comparisonFatDB  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
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.A distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricA .NET NoSQL DBMS that can integrate with and extend SQL Server.Distributed Event Store optimized for Internet of Things use cases
Primary database modelRelational DBMSSearch engineDocument store
Key-value store
Event Store
Time Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.15
Rank#55  Overall
#33  Relational DBMS
Score135.35
Rank#7  Overall
#1  Search engines
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Websitewww.cockroachlabs.comwww.elastic.co/­elasticsearchwww.ibm.com/­products/­db2-event-store
Technical documentationwww.cockroachlabs.com/­docswww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlwww.ibm.com/­docs/­en/­db2-event-store
DeveloperCockroach LabsElasticFatCloudIBM
Initial release2015201020122017
Current release23.1.1, May 20238.6, January 20232.0
License infoCommercial or Open SourceOpen Source infoApache 2.0, commercial license availableOpen Source infoElastic Licensecommercialcommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaC#C and C++
Server operating systemsLinux
macOS
Windows
All OS with a Java VMWindowsLinux infoLinux, macOS, Windows for the developer addition
Data schemedynamic schemaschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonono
Secondary indexesyesyes infoAll search fields are automatically indexedyesno
SQL infoSupport of SQLyes, wire compatible with PostgreSQLSQL-like query languageno infoVia inetgration in SQL Serveryes infothrough the embedded Spark runtime
APIs and other access methodsJDBCJava API
RESTful HTTP/JSON API
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C#C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Server-side scripts infoStored proceduresnoyesyes infovia applicationsyes
Triggersnoyes infoby using the 'percolation' featureyes infovia applicationsno
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
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTyesselectable replication factorActive-active shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectoryesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allEventual Consistency
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesNo - written data is immutable
Durability infoSupport for making data persistentyesyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storage
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noMemcached and Redis integrationyes
User concepts infoAccess controlRole-based access controlno infoCan implement custom security layer via applicationsfine grained access rights according to SQL-standard

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More resources
CockroachDBElasticsearchFatDBIBM Db2 Event Store
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