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DBMS > EXASOL vs. Google Cloud Bigtable vs. Graph Engine vs. Ingres vs. TerarkDB

System Properties Comparison EXASOL vs. Google Cloud Bigtable vs. Graph Engine vs. Ingres vs. TerarkDB

Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonIngres  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Google'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 engineWell established RDBMSA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMSKey-value store
Wide column store
Graph DBMS
Key-value store
Relational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.99
Rank#124  Overall
#58  Relational DBMS
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
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitewww.exasol.comcloud.google.com/­bigtablewww.graphengine.iowww.actian.com/­databases/­ingresgithub.com/­bytedance/­terarkdb
Technical documentationwww.exasol.com/­resourcescloud.google.com/­bigtable/­docswww.graphengine.io/­docs/­manualdocs.actian.com/­ingresbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperExasolGoogleMicrosoftActian CorporationByteDance, originally Terark
Initial release2000201520101974 infooriginally developed at University Berkely in early 1970s2016
Current release11.2, May 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoMIT Licensecommercialcommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation language.NET and CCC++
Server operating systemshosted.NETAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesnoyesyesno
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 availableno
Secondary indexesyesnoyesno
SQL infoSupport of SQLyesnonoyesno
APIs and other access methods.Net
JDBC
ODBC
WebSocket
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
RESTful HTTP API.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
C++ API
Java API
Supported programming languagesJava
Lua
Python
R
C#
C++
Go
Java
JavaScript (Node.js)
Python
C#
C++
F#
Visual Basic
C++
Java
Server-side scripts infoStored proceduresuser defined functionsnoyesyesno
Triggersyesnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioninghorizontal partitioning infoIngres Star to access multiple databases simultaneouslynone
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesIngres Replicatornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-row operationsnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCCyes
Durability infoSupport for making data persistentyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesnoyes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardno

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More resources
EXASOLGoogle Cloud BigtableGraph Engine infoformer name: TrinityIngresTerarkDB
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