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DBMS > Hypertable vs. LMDB vs. Splice Machine

System Properties Comparison Hypertable vs. LMDB vs. Splice Machine

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Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonLMDB  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 HadoopA high performant, light-weight, embedded key-value database libraryOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelWide column storeKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.33
Rank#118  Overall
#21  Key-value stores
Score0.54
Rank#255  Overall
#116  Relational DBMS
Websitewww.symas.com/­symas-embedded-database-lmdbsplicemachine.com
Technical documentationwww.lmdb.tech/­docsplicemachine.com/­how-it-works
DeveloperHypertable Inc.SymasSplice Machine
Initial release200920112014
Current release0.9.8.11, March 20160.9.32, January 20243.1, March 2021
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availableOpen SourceOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CJava
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
Linux
Unix
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenoyes
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 scansnoyes
SQL infoSupport of SQLnonoyes
APIs and other access methodsC++ API
Thrift
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnonoyes infoJava
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
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.yesyes
User concepts infoAccess controlnonoAccess rights for users, groups and roles according to SQL-standard

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More resources
HypertableLMDBSplice Machine
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