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DBMS > Axibase vs. Google Cloud Datastore vs. IBM Db2 Event Store vs. Oracle Coherence vs. Warp 10

System Properties Comparison Axibase vs. Google Cloud Datastore vs. IBM Db2 Event Store vs. Oracle Coherence vs. Warp 10

Editorial information provided by DB-Engines
NameAxibase  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonOracle Coherence  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformDistributed Event Store optimized for Internet of Things use casesOracles in-memory data grid solutionTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelTime Series DBMSDocument storeEvent Store
Time Series DBMS
Key-value storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#292  Overall
#25  Time Series DBMS
Score4.47
Rank#76  Overall
#12  Document stores
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score1.92
Rank#130  Overall
#22  Key-value stores
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websiteaxibase.com/­docs/­atsd/­financecloud.google.com/­datastorewww.ibm.com/­products/­db2-event-storewww.oracle.com/­java/­coherencewww.warp10.io
Technical documentationcloud.google.com/­datastore/­docswww.ibm.com/­docs/­en/­db2-event-storedocs.oracle.com/­en/­middleware/­standalone/­coherencewww.warp10.io/­content/­02_Getting_started
DeveloperAxibase CorporationGoogleIBMOracleSenX
Initial release20132008201720072015
Current release155852.014.1, August 2023
License infoCommercial or Open Sourcecommercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidcommercialcommercial infofree developer edition availablecommercialOpen Source infoApache License 2.0
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 languageJavaC and C++JavaJava
Server operating systemsLinuxhostedLinux infoLinux, macOS, Windows for the developer additionAll OS with a Java VMLinux
OS X
Windows
Data schemeyesschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyes infoshort, integer, long, float, double, decimal, stringyes, details hereyesyesyes
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 indexesnoyesnonono
SQL infoSupport of SQLSQL-like query languageSQL-like query language (GQL)yes infothrough the embedded Spark runtimenono
APIs and other access methodsJDBC
Proprietary protocol (Network API)
RESTful HTTP API
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
JCache
JPA
RESTful HTTP API
HTTP API
Jupyter
WebSocket
Supported programming languagesGo
Java
PHP
Python
R
Ruby
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
C++
Java
Server-side scripts infoStored proceduresyesusing Google App Engineyesnoyes infoWarpScript
TriggersyesCallbacks using the Google Apps Enginenoyes infoLive Eventsno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication using PaxosActive-active shard replicationyes, with selectable consistency levelselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infousing Google Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate 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.Eventual ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency infobased on HBase
Foreign keys infoReferential integritynoyes infovia ReferenceProperties or Ancestor pathsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsnoconfigurableno
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutableyesyes
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes infooptionallyyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
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-standardauthentification to access the cache via certificates or http basic authenticationMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
AxibaseGoogle Cloud DatastoreIBM Db2 Event StoreOracle CoherenceWarp 10
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