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DBMS > Hypertable vs. LevelDB vs. Spark SQL vs. Transbase vs. Transwarp ArgoDB

System Properties Comparison Hypertable vs. LevelDB vs. Spark SQL vs. Transbase vs. Transwarp ArgoDB

Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonLevelDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonTransbase  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 HadoopEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesSpark SQL is a component on top of 'Spark Core' for structured data processingA resource-optimized, high-performance, universally applicable RDBMSDistributed Analytical Database to replace Hadoop+MPP hybrid architecture
Primary database modelWide column storeKey-value storeRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.35
Rank#111  Overall
#19  Key-value stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.11
Rank#341  Overall
#150  Relational DBMS
Score0.07
Rank#350  Overall
#153  Relational DBMS
Websitegithub.com/­google/­leveldbspark.apache.org/­sqlwww.transaction.de/­en/­products/­transbase.htmlwww.transwarp.cn/­en/­product/­argodb
Technical documentationgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.transaction.de/­en/­products/­transbase/­features.htmldocs.transwarp.cn/­#/­documents-support/­docs?category=ARGODB
DeveloperHypertable Inc.GoogleApache Software FoundationTransaction Software GmbHTranswarp
Initial release2009201120141987
Current release0.9.8.11, March 20161.23, February 20213.5.0 ( 2.13), September 2023Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availableOpen Source infoBSDOpen Source infoApache 2.0commercial infofree development licensecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++ScalaC and C++
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
Illumos
Linux
OS X
Windows
Linux
OS X
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or datenonoyesyesyes
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 indexesrestricted infoonly exact value or prefix value scansnonoyesyes
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsyesyes
APIs and other access methodsC++ API
Thrift
JDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Java
Python
R
Scala
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresnononoyes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelnonenoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlnononofine grained access rights according to SQL-standard

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More resources
HypertableLevelDBSpark SQLTransbaseTranswarp ArgoDB
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