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DBMS > Hypertable vs. Splice Machine vs. Transwarp ArgoDB

System Properties Comparison Hypertable vs. Splice Machine vs. Transwarp ArgoDB

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Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonSplice Machine  Xexclude from comparisonTranswarp ArgoDB  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 SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkDistributed Analytical Database to replace Hadoop+MPP hybrid architecture
Primary database modelWide column storeRelational DBMSRelational DBMS
Secondary database modelsSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score0.12
Rank#348  Overall
#151  Relational DBMS
Websitesplicemachine.comwww.transwarp.cn/­en/­product/­argodb
Technical documentationsplicemachine.com/­how-it-worksdocs.transwarp.cn/­#/­documents-support/­docs?category=ARGODB
DeveloperHypertable Inc.Splice MachineTranswarp
Initial release20092014
Current release0.9.8.11, March 20163.1, March 2021
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availableOpen Source infoAGPL 3.0, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyes
Secondary indexesrestricted infoonly exact value or prefix value scansyesyes
SQL infoSupport of SQLnoyesyes
APIs and other access methodsC++ API
Thrift
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoyes infoJava
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlnoAccess rights for users, groups and roles according to SQL-standard

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More resources
HypertableSplice MachineTranswarp ArgoDB
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