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DBMS > Heroic vs. SpatiaLite vs. Splice Machine vs. Transwarp Hippo

System Properties Comparison Heroic vs. SpatiaLite vs. Splice Machine vs. Transwarp Hippo

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Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonSpatiaLite  Xexclude from comparisonSplice Machine  Xexclude from comparisonTranswarp Hippo  Xexclude from comparison
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchSpatial extension of SQLiteOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkCloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets
Primary database modelTime Series DBMSSpatial DBMSRelational DBMSVector DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score1.60
Rank#149  Overall
#3  Spatial DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score0.00
Rank#383  Overall
#13  Vector DBMS
Websitegithub.com/­spotify/­heroicwww.gaia-gis.it/­fossil/­libspatialite/­indexsplicemachine.comwww.transwarp.cn/­en/­subproduct/­hippo
Technical documentationspotify.github.io/­heroicwww.gaia-gis.it/­gaia-sins/­spatialite_topics.htmlsplicemachine.com/­how-it-works
DeveloperSpotifyAlessandro FurieriSplice Machine
Initial release2014200820142023
Current release5.0.0, August 20203.1, March 20211.0, May 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoMPL 1.1, GPL v2.0 or LGPL v2.1Open Source infoAGPL 3.0, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++JavaC++
Server operating systemsserver-lessLinux
OS X
Solaris
Windows
Linux
macOS
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesVector, Numeric and String
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 indexesyes infovia Elasticsearchyesyesno
SQL infoSupport of SQLnoyesyesno
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
JDBC
Native Spark Datasource
ODBC
RESTful HTTP API
Supported programming languagesC#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C++
Java
Python
Server-side scripts infoStored proceduresnonoyes infoJavano
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShared Nothhing Auto-Sharding, Columnar PartitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
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.noyesyesyes
User concepts infoAccess controlnoAccess rights for users, groups and roles according to SQL-standardRole based access control and fine grained access rights

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More resources
HeroicSpatiaLiteSplice MachineTranswarp Hippo
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