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DBMS > Graph Engine vs. Hypertable vs. IBM Db2 Event Store vs. SiteWhere

System Properties Comparison Graph Engine vs. Hypertable vs. IBM Db2 Event Store vs. SiteWhere

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Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonHypertable  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonSiteWhere  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineAn open source BigTable implementation based on distributed file systems such as HadoopDistributed Event Store optimized for Internet of Things use casesM2M integration platform for persisting/querying time series data
Primary database modelGraph DBMS
Key-value store
Wide column storeEvent Store
Time Series DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Websitewww.graphengine.iowww.ibm.com/­products/­db2-event-storegithub.com/­sitewhere/­sitewhere
Technical documentationwww.graphengine.io/­docs/­manualwww.ibm.com/­docs/­en/­db2-event-storesitewhere1.sitewhere.io/­index.html
DeveloperMicrosoftHypertable Inc.IBMSiteWhere
Initial release2010200920172010
Current release0.9.8.11, March 20162.0
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoGNU version 3. Commercial license availablecommercial infofree developer edition availableOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation language.NET and CC++C and C++Java
Server operating systems.NETLinux
OS X
Windows infoan inofficial Windows port is available
Linux infoLinux, macOS, Windows for the developer additionLinux
OS X
Windows
Data schemeyesschema-freeyespredefined scheme
Typing infopredefined data types such as float or dateyesnoyesyes
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.nonono
Secondary indexesrestricted infoonly exact value or prefix value scansnono
SQL infoSupport of SQLnonoyes infothrough the embedded Spark runtimeno
APIs and other access methodsRESTful HTTP APIC++ API
Thrift
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
HTTP REST
Supported programming languagesC#
C++
F#
Visual Basic
C++
Java
Perl
PHP
Python
Ruby
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Server-side scripts infoStored proceduresyesnoyes
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelActive-active shard replicationselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutableyes
Durability infoSupport for making data persistentoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlnofine grained access rights according to SQL-standardUsers with fine-grained authorization concept

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More resources
Graph Engine infoformer name: TrinityHypertableIBM Db2 Event StoreSiteWhere
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