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DBMS > Google Cloud Bigtable vs. H2GIS vs. HEAVY.AI vs. Lovefield vs. TimesTen

System Properties Comparison Google Cloud Bigtable vs. H2GIS vs. HEAVY.AI vs. Lovefield vs. TimesTen

Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonH2GIS  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonLovefield  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Spatial extension of H2A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareEmbeddable relational database for web apps written in pure JavaScriptIn-Memory RDBMS compatible to Oracle
Primary database modelKey-value store
Wide column store
Spatial DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsRelational DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score1.31
Rank#163  Overall
#74  Relational DBMS
Websitecloud.google.com/­bigtablewww.h2gis.orggithub.com/­heavyai/­heavydb
www.heavy.ai
google.github.io/­lovefieldwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationcloud.google.com/­bigtable/­docswww.h2gis.org/­docs/­homedocs.heavy.aigithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.oracle.com/­database/­timesten-18.1
DeveloperGoogleCNRSHEAVY.AI, Inc.GoogleOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20152013201620141998
Current release5.10, January 20222.1.12, February 201711 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourcecommercialOpen Source infoLGPL 3.0Open Source infoApache Version 2; enterprise edition availableOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++ and CUDAJavaScript
Server operating systemshostedLinuxserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or datenoyesyesyesyes
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 indexesnoyesnoyesyes
SQL infoSupport of SQLnoyesyesSQL-like query language infovia JavaScript builder patternyes
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
ODBC
Thrift
Vega
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
JavaAll languages supporting JDBC/ODBC/Thrift
Python
JavaScriptC
C++
Java
PL/SQL
Server-side scripts infoStored proceduresnoyes infobased on H2nonoPL/SQL
TriggersnoyesnoUsing read-only observersno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoRound robinnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesyes infobased on H2Multi-source replicationnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes infousing MemoryDByes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yes infobased on H2fine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard

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More resources
Google Cloud BigtableH2GISHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022LovefieldTimesTen
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