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DBMS > GeoSpock vs. HEAVY.AI vs. JanusGraph vs. Lovefield vs. Spark SQL

System Properties Comparison GeoSpock vs. HEAVY.AI vs. JanusGraph vs. Lovefield vs. Spark SQL

Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonLovefield  Xexclude from comparisonSpark SQL  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionSpatial and temporal data processing engine for extreme data scaleA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Embeddable relational database for web apps written in pure JavaScriptSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSRelational DBMSGraph DBMSRelational DBMSRelational DBMS
Secondary database modelsTime Series DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitegeospock.comgithub.com/­heavyai/­heavydb
www.heavy.ai
janusgraph.orggoogle.github.io/­lovefieldspark.apache.org/­sql
Technical documentationdocs.heavy.aidocs.janusgraph.orggithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperGeoSpockHEAVY.AI, Inc.Linux Foundation; originally developed as Titan by AureliusGoogleApache Software Foundation
Initial release2016201720142014
Current release2.0, September 20195.10, January 20220.6.3, February 20232.1.12, February 20173.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; enterprise edition availableOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, JavascriptC++ and CUDAJavaJavaScriptScala
Server operating systemshostedLinuxLinux
OS X
Unix
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
OS X
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonononono
Secondary indexestemporal, categoricalnoyesyesno
SQL infoSupport of SQLANSI SQL for query only (using Presto)yesnoSQL-like query language infovia JavaScript builder patternSQL-like DML and DDL statements
APIs and other access methodsJDBCJDBC
ODBC
Thrift
Vega
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
Clojure
Java
Python
JavaScriptJava
Python
R
Scala
Server-side scripts infoStored proceduresnonoyesnono
TriggersnonoyesUsing read-only observersno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingSharding infoRound robinyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)noneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyes infoRelationships in graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infousing MemoryDBno
User concepts infoAccess controlAccess rights for users can be defined per tablefine grained access rights according to SQL-standardUser authentification and security via Rexster Graph Servernono

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More resources
GeoSpockHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022JanusGraph infosuccessor of TitanLovefieldSpark SQL
Recent citations in the news

How GeoSpock is supercharging geospatial analytics
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14 April 2023, InfoWorld

HEAVY.AI Partners with Bain, Maxar, and Nvidia to Provide Digital Twins for Telecom Networks
16 February 2023, Datanami

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