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DBMS > Hypertable vs. LMDB vs. SpatiaLite vs. Splice Machine

System Properties Comparison Hypertable vs. LMDB vs. SpatiaLite vs. Splice Machine

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Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonLMDB  Xexclude from comparisonSpatiaLite  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 librarySpatial extension of SQLiteOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelWide column storeKey-value storeSpatial DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.99
Rank#125  Overall
#21  Key-value stores
Score1.60
Rank#149  Overall
#3  Spatial DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitewww.symas.com/­symas-embedded-database-lmdbwww.gaia-gis.it/­fossil/­libspatialite/­indexsplicemachine.com
Technical documentationwww.lmdb.tech/­docwww.gaia-gis.it/­gaia-sins/­spatialite_topics.htmlsplicemachine.com/­how-it-works
DeveloperHypertable Inc.SymasAlessandro FurieriSplice Machine
Initial release2009201120082014
Current release0.9.8.11, March 20160.9.32, January 20245.0.0, August 20203.1, March 2021
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availableOpen SourceOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1Open 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++CC++Java
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
Linux
Unix
Windows
server-lessLinux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyes
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 scansnoyesyes
SQL infoSupport of SQLnonoyesyes
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 proceduresnononoyes infoJava
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelnonenoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, 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.yesyesyes
User concepts infoAccess controlnononoAccess rights for users, groups and roles according to SQL-standard

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More resources
HypertableLMDBSpatiaLiteSplice Machine
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