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DBMS > Google Cloud Bigtable vs. Graph Engine vs. HEAVY.AI vs. Ingres vs. jBASE

System Properties Comparison Google Cloud Bigtable vs. Graph Engine vs. HEAVY.AI vs. Ingres vs. jBASE

Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonIngres  Xexclude from comparisonjBASE  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.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareWell established RDBMSA robust multi-value DBMS comprising development tools and middleware
Primary database modelKey-value store
Wide column store
Graph DBMS
Key-value store
Relational DBMSRelational DBMSMultivalue DBMS
Secondary database modelsSpatial 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
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score1.41
Rank#159  Overall
#3  Multivalue DBMS
Websitecloud.google.com/­bigtablewww.graphengine.iogithub.com/­heavyai/­heavydb
www.heavy.ai
www.actian.com/­databases/­ingreswww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbase
Technical documentationcloud.google.com/­bigtable/­docswww.graphengine.io/­docs/­manualdocs.heavy.aidocs.actian.com/­ingresdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9
DeveloperGoogleMicrosoftHEAVY.AI, Inc.Actian CorporationRocket Software (formerly Zumasys)
Initial release2015201020161974 infooriginally developed at University Berkely in early 1970s1991
Current release5.10, January 202211.2, May 20225.7
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicenseOpen Source infoApache Version 2; enterprise edition availablecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation language.NET and CC++ and CUDAC
Server operating systemshosted.NETLinuxAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
AIX
Linux
Windows
Data schemeschema-freeyesyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesyesoptional
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.nononono infobut tools for importing/exporting data from/to XML-files availableyes
Secondary indexesnonoyes
SQL infoSupport of SQLnonoyesyesEmbedded SQL for jBASE in BASIC
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
RESTful HTTP APIJDBC
ODBC
Thrift
Vega
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C#
C++
F#
Visual Basic
All languages supporting JDBC/ODBC/Thrift
Python
.Net
Basic
Jabbascript
Java
Server-side scripts infoStored proceduresnoyesnoyesyes
Triggersnononoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningSharding infoRound robinhorizontal partitioning infoIngres Star to access multiple databases simultaneouslySharding
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replicationIngres Replicatoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
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 Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCCyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesnoyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights can be defined down to the item level

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More resources
Google Cloud BigtableGraph Engine infoformer name: TrinityHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022IngresjBASE
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