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DBMS > Hypertable vs. RavenDB vs. RisingWave vs. Splice Machine vs. TerarkDB

System Properties Comparison Hypertable vs. RavenDB vs. RisingWave vs. Splice Machine vs. TerarkDB

Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonRavenDB  Xexclude from comparisonRisingWave  Xexclude from comparisonSplice Machine  Xexclude from comparisonTerarkDB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionAn open source BigTable implementation based on distributed file systems such as HadoopOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseA distributed RDBMS for stream processing, wire-compatible with PostgreSQLOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelWide column storeDocument storeRelational DBMSRelational 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
Score2.92
Rank#101  Overall
#18  Document stores
Score0.58
Rank#242  Overall
#111  Relational DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websiteravendb.netwww.risingwave.com/­databasesplicemachine.comgithub.com/­bytedance/­terarkdb
Technical documentationravendb.net/­docsdocs.risingwave.com/­docs/­current/­introsplicemachine.com/­how-it-worksbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperHypertable Inc.Hibernating RhinosRisingWave LabsSplice MachineByteDance, originally Terark
Initial release20092010202220142016
Current release0.9.8.11, March 20165.4, July 20221.2, September 20233.1, March 2021
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availableOpen Source infoAGPL version 3, commercial license availableOpen Source infoApache Version 2.0Open Source infoAGPL 3.0, commercial license availablecommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C#RustJavaC++
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
Linux
macOS
Raspberry Pi
Windows
Docker
Linux
macOS
Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenonoStandard SQL-types and JSONyesno
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.nono
Secondary indexesrestricted infoonly exact value or prefix value scansyesyesyesno
SQL infoSupport of SQLnoSQL-like query language (RQL)yesyesno
APIs and other access methodsC++ 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
PostgreSQL wire protocol
JDBC
Native Spark Datasource
ODBC
C++ API
Java API
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C++
Java
Server-side scripts infoStored proceduresnoyesUDFs in Python or Javayes infoJavano
Triggersnoyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelMulti-source replicationMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate 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.Immediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID, Cluster-wide transaction availablenoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
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.yesyesyes
User concepts infoAccess controlnoAuthorization levels configured per client per databaseUsers and RolesAccess rights for users, groups and roles according to SQL-standardno

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More resources
HypertableRavenDBRisingWaveSplice MachineTerarkDB
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