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DBMS > AgensGraph vs. CrateDB vs. IBM Db2 Event Store vs. STSdb

System Properties Comparison AgensGraph vs. CrateDB vs. IBM Db2 Event Store vs. STSdb

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonCrateDB  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLDistributed Database based on LuceneDistributed Event Store optimized for Internet of Things use casesKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelGraph DBMS
Relational DBMS
Document store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Event Store
Time Series DBMS
Key-value store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#333  Overall
#30  Graph DBMS
#146  Relational DBMS
Score0.73
Rank#229  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#8  Vector DBMS
Score0.23
Rank#316  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.06
Rank#365  Overall
#55  Key-value stores
Websitebitnine.net/­agensgraphcratedb.comwww.ibm.com/­products/­db2-event-storegithub.com/­STSSoft/­STSdb4
Technical documentationbitnine.net/­documentationcratedb.com/­docswww.ibm.com/­docs/­en/­db2-event-store
DeveloperBitnine Global Inc.CrateIBMSTS Soft SC
Initial release2016201320172011
Current release2.1, December 20182.04.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Sourcecommercial infofree developer edition availableOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
CrateDB Cloud: a distributed SQL database that spreads data and processing across an elastic cluster of shared nothing nodes. CrateDB Cloud enables data insights at scale on Microsoft Azure, AWS and Google Cloud Platform.
Implementation languageCJavaC and C++C#
Server operating systemsLinux
OS X
Windows
All Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportLinux infoLinux, macOS, Windows for the developer additionWindows
Data schemedepending on used data modelFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or dateyesyesyesyes 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.nonono
Secondary indexesyesyesnono
SQL infoSupport of SQLyesyes, but no triggers and constraints, and PostgreSQL compatibilityyes infothrough the embedded Spark runtimeno
APIs and other access methodsCypher Query Language
JDBC
ADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
.NET Client API
Supported programming languagesC
Java
JavaScript
Python
.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C#
Java
Server-side scripts infoStored proceduresyesuser defined functions (Javascript)yesno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationConfigurable replication on table/partition-levelActive-active shard replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Read-after-write consistency on record level
Eventual Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infounique row identifiers can be used for implementing an optimistic concurrency control strategynono
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
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardrights management via user accountsfine grained access rights according to SQL-standardno
More information provided by the system vendor
AgensGraphCrateDBIBM Db2 Event StoreSTSdb
Specific characteristicsThe enterprise database for time series, documents, and vectors. Distributed - Native...
» more
Competitive advantagesResponse time in milliseconds: e ven for complex ad-hoc queries. Massive scaling...
» more
Typical application scenarios​ IoT: accelerate your IIoT projects with CrateDB, delivering real-time analytics...
» more
Key customersAcross all continents, CrateDB is used by companies of all sizes to meet the most...
» more
Market metricsThe CrateDB open source project was started in 2013 Honorable Mention in 2021 Gartner®...
» more
Licensing and pricing modelsSee CrateDB pricing >
» more

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AgensGraphCrateDBIBM Db2 Event StoreSTSdb
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