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DBMS > Lovefield vs. OmniSci vs. Splice Machine

System Properties Comparison Lovefield vs. OmniSci vs. Splice Machine

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Editorial information provided by DB-Engines
NameLovefield  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionEmbeddable relational database for web apps written in pure JavaScriptA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#275  Overall
#127  Relational DBMS
Score1.27
Rank#153  Overall
#73  Relational DBMS
Score0.86
Rank#185  Overall
#89  Relational DBMS
Websitegoogle.github.io/­lovefieldgithub.com/­omnisci/­omniscidb
www.omnisci.com
splicemachine.com
Technical documentationgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.omnisci.comdoc.splicemachine.com
DeveloperGoogleMapD Technologies, Inc.Splice Machine
Initial release201420162014
Current release2.1.12, February 20175.10, January 20223.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2; enterprise edition availableOpen 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 languageJavaScriptC++ and CUDAJava
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinuxLinux
OS X
Solaris
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesnoyes
SQL infoSupport of SQLSQL-like query language infovia JavaScript builder patternyesyes
APIs and other access methodsJDBC
ODBC
Thrift
Vega
JDBC
Native Spark Datasource
ODBC
Supported programming languagesJavaScriptAll languages supporting JDBC/ODBC/Thrift
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnonoyes infoJava
TriggersUsing read-only observersnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoRound robinShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infousing MemoryDByesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
LovefieldOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018Splice Machine
Specific characteristicsOptimizes memory and compute layers to deliver unprecedented performance. Natively...
» more
Competitive advantagesOnly OmniSci allows users to visually and interactively discover high-value patterns,...
» more
Typical application scenariosSpatiotemporal and interactive visual analysis on massive, disparate datasets.
» more
Licensing and pricing modelsOmniSci Free (Free Forever), Foundations ($2k/month), and Enterprise Licensure (Inquire...
» more
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More resources
LovefieldOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018Splice Machine
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