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DBMS > HBase vs. OpenQM vs. RavenDB vs. Spark SQL vs. STSdb

System Properties Comparison HBase vs. OpenQM vs. RavenDB vs. Spark SQL vs. STSdb

Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonRavenDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableQpenQM is a high-performance, self-tuning, multi-value DBMSOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseSpark SQL is a component on top of 'Spark Core' for structured data processingKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelWide column storeMultivalue DBMSDocument storeRelational DBMSKey-value store
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score30.50
Rank#26  Overall
#2  Wide column stores
Score0.27
Rank#298  Overall
#10  Multivalue DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Websitehbase.apache.orgwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmravendb.netspark.apache.org/­sqlgithub.com/­STSSoft/­STSdb4
Technical documentationhbase.apache.org/­book.htmlravendb.net/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetRocket Software, originally Martin PhillipsHibernating RhinosApache Software FoundationSTS Soft SC
Initial release20081993201020142011
Current release2.3.4, January 20213.4-125.4, July 20223.5.0 ( 2.13), September 20234.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoGPLv2, extended commercial license availableOpen Source infoAGPL version 3, commercial license availableOpen 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

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Implementation languageJavaC#ScalaC#
Server operating systemsLinux
Unix
Windows infousing Cygwin
AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux
macOS
Raspberry Pi
Windows
Linux
OS X
Windows
Windows
Data schemeschema-free, schema definition possibleyes infowith some exceptionsschema-freeyesyes
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROnoyesyes 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.noyesno
Secondary indexesnoyesyesnono
SQL infoSupport of SQLnonoSQL-like query language (RQL)SQL-like DML and DDL statementsno
APIs and other access methodsJava API
RESTful HTTP API
Thrift
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
JDBC
ODBC
.NET Client API
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
Basic
C
Java
Objective C
PHP
Python
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
Python
R
Scala
C#
Java
Server-side scripts infoStored proceduresyes infoCoprocessors in Javayesyesnono
Triggersyesyesyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingyesShardingyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesMulti-source replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)ACIDACID, Cluster-wide transaction availablenono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAccess rights can be defined down to the item levelAuthorization levels configured per client per databasenono

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More resources
HBaseOpenQM infoalso called QMRavenDBSpark SQLSTSdb
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