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DBMS > EXASOL vs. Google Cloud Datastore vs. RethinkDB vs. SwayDB vs. TigerGraph

System Properties Comparison EXASOL vs. Google Cloud Datastore vs. RethinkDB vs. SwayDB vs. TigerGraph

Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonRethinkDB  Xexclude from comparisonSwayDB  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformDBMS for the Web with a mechanism to push updated query results to applications in realtime.An embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storageA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelRelational DBMSDocument storeDocument storeKey-value storeGraph DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score4.47
Rank#76  Overall
#12  Document stores
Score2.74
Rank#105  Overall
#19  Document stores
Score0.00
Rank#382  Overall
#59  Key-value stores
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websitewww.exasol.comcloud.google.com/­datastorerethinkdb.comswaydb.simer.auwww.tigergraph.com
Technical documentationwww.exasol.com/­resourcescloud.google.com/­datastore/­docsrethinkdb.com/­docsdocs.tigergraph.com
DeveloperExasolGoogleThe Linux Foundation infosince July 2017Simer Plaha
Initial release20002008200920182017
Current release2.4.1, August 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2Open Source infoGNU Affero GPL V3.0commercial
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 languageC++ScalaC++
Server operating systemshostedLinux
OS X
Windows
Linux
Data schemeyesschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyes, details hereyes infostring, binary, float, bool, date, geometrynoyes
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 indexesyesyesyesno
SQL infoSupport of SQLyesSQL-like query language (GQL)nonoSQL-like query language (GSQL)
APIs and other access methods.Net
JDBC
ODBC
WebSocket
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesJava
Lua
Python
R
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Java
Kotlin
Scala
C++
Java
Server-side scripts infoStored proceduresuser defined functionsusing Google App Enginenoyes
TriggersyesCallbacks using the Google Apps EngineClient-side triggers through changefeedsnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding inforange basednone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationyes infousing Google Cloud Dataflowyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes infovia ReferenceProperties or Ancestor pathsnonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsAtomic single-document operationsAtomic execution of operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCC basedyesyes
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.yesnonoyesno
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)yes infousers and table-level permissionsnoRole-based access control

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More resources
EXASOLGoogle Cloud DatastoreRethinkDBSwayDBTigerGraph
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