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DBMS > HBase vs. HugeGraph vs. IBM Db2 Event Store vs. STSdb

System Properties Comparison HBase vs. HugeGraph vs. IBM Db2 Event Store vs. STSdb

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Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonHugeGraph  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableA fast-speed and highly-scalable Graph DBMSDistributed 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 modelWide column storeGraph DBMSEvent Store
Time Series DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score30.50
Rank#26  Overall
#2  Wide column stores
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Websitehbase.apache.orggithub.com/­hugegraph
hugegraph.apache.org
www.ibm.com/­products/­db2-event-storegithub.com/­STSSoft/­STSdb4
Technical documentationhbase.apache.org/­book.htmlhugegraph.apache.org/­docswww.ibm.com/­docs/­en/­db2-event-store
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetBaiduIBMSTS Soft SC
Initial release2008201820172011
Current release2.3.4, January 20210.92.04.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache Version 2.0commercial 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

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Implementation languageJavaJavaC and C++C#
Server operating systemsLinux
Unix
Windows infousing Cygwin
Linux
macOS
Unix
Linux infoLinux, macOS, Windows for the developer additionWindows
Data schemeschema-free, schema definition possibleyesyesyes
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyesyesyes 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 indexesnoyes infoalso supports composite index and range indexnono
SQL infoSupport of SQLnonoyes infothrough the embedded Spark runtimeno
APIs and other access methodsJava API
RESTful HTTP API
Thrift
Java API
RESTful HTTP API
TinkerPop Gremlin
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
.NET Client API
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
Groovy
Java
Python
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 proceduresyes infoCoprocessors in Javaasynchronous Gremlin script jobsyesno
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infodepending on used storage backend, e.g. Cassandra and HBaseActive-active shard replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesvia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyes infoedges in graphnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)ACIDnono
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.yesyesyes
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACUsers, roles and permissionsfine grained access rights according to SQL-standardno

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More resources
HBaseHugeGraphIBM Db2 Event StoreSTSdb
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