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DBMS > Hypertable vs. ITTIA vs. RavenDB vs. Splice Machine

System Properties Comparison Hypertable vs. ITTIA vs. RavenDB vs. Splice Machine

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Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonITTIA  Xexclude from comparisonRavenDB  Xexclude from comparisonSplice Machine  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 HadoopEdge Time Series DBMS with Real-Time Stream ProcessingOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelWide column storeTime Series DBMSDocument storeRelational DBMS
Secondary database modelsRelational DBMSGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.39
Rank#273  Overall
#24  Time Series DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitewww.ittia.comravendb.netsplicemachine.com
Technical documentationravendb.net/­docssplicemachine.com/­how-it-works
DeveloperHypertable Inc.ITTIA L.L.C.Hibernating RhinosSplice Machine
Initial release2009200720102014
Current release0.9.8.11, March 20168.75.4, July 20223.1, March 2021
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availablecommercialOpen Source infoAGPL version 3, commercial license availableOpen Source infoAGPL 3.0, 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 languageC++C and C++C#Java
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
Linux
Windows
Linux
macOS
Raspberry Pi
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeFixed schemaschema-freeyes
Typing infopredefined data types such as float or datenoFloat/Blob/Integer/String/Unicode/Date/Time/Timestamp/Intervalnoyes
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.no
Secondary indexesrestricted infoonly exact value or prefix value scansyesyesyes
SQL infoSupport of SQLnoyesSQL-like query language (RQL)yes
APIs and other access methodsC++ API
Thrift
JDBC
ODBC
RESTful HTTP API
WebSocket
.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
Native Spark Datasource
ODBC
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
C
C++
JavaScript (Node.js)
Python
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoyesyesyes infoJava
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelyesMulti-source replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesYes, via Full Spark Integration
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 integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACID, Cluster-wide transaction availableACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlnoDatabase file passwordsAuthorization levels configured per client per databaseAccess rights for users, groups and roles according to SQL-standard

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More resources
HypertableITTIARavenDBSplice Machine
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