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DBMS > EXASOL vs. GeoSpock vs. Google Cloud Firestore vs. SAP Adaptive Server vs. TerarkDB

System Properties Comparison EXASOL vs. GeoSpock vs. Google Cloud Firestore vs. SAP Adaptive Server vs. TerarkDB

Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonGeoSpock  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonSAP Adaptive Server infoformer name: Sybase ASE  Xexclude from comparisonTerarkDB  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Spatial and temporal data processing engine for extreme data scaleCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.The SAP (Sybase) Adaptive Server Enterprise (ASE) is an enterprise-class 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 DBMSRelational DBMSDocument storeRelational DBMSKey-value store
Secondary database modelsTime Series DBMSSpatial DBMS infowith Boeing's Spatial Query Server
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.25
Rank#120  Overall
#57  Relational DBMS
Score8.96
Rank#48  Overall
#8  Document stores
Score37.12
Rank#25  Overall
#17  Relational DBMS
Score0.04
Rank#377  Overall
#58  Key-value stores
Websitewww.exasol.comgeospock.comfirebase.google.com/­products/­firestorewww.sap.com/­products/­technology-platform/­sybase-ase.htmlgithub.com/­bytedance/­terarkdb
Technical documentationwww.exasol.com/­resourcesfirebase.google.com/­docs/­firestorehelp.sap.com/­docs/­SAP_ASEbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperExasolGeoSpockGoogleSAP, SybaseByteDance, originally Terark
Initial release2000201719872016
Current release2.0, September 201916.0
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercialcommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptC and C++C++
Server operating systemshostedhostedAIX
HP-UX
Linux
Solaris
Unix
Windows
Data schemeyesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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 indexesyestemporal, categoricalyesyesno
SQL infoSupport of SQLyesANSI SQL for query only (using Presto)noyesno
APIs and other access methods.Net
JDBC
ODBC
WebSocket
JDBCAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
C++ API
Java API
Supported programming languagesJava
Lua
Python
R
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C
C++
Cobol
Java
Java
Perl
PHP
Python
C++
Java
Server-side scripts infoStored proceduresuser defined functionsnoyes, Firebase Rules & Cloud FunctionsJava and Transact-SQLno
Triggersyesnoyes, with Cloud Functionsyesno
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingShardinghorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnoUsing Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardAccess rights for users can be defined per tableAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.fine grained access rights according to SQL-standardno

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More resources
EXASOLGeoSpockGoogle Cloud FirestoreSAP Adaptive Server infoformer name: Sybase ASETerarkDB
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