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DBMS > Cachelot.io vs. GBase vs. GeoSpock vs. Hypertable vs. IBM Db2 Event Store

System Properties Comparison Cachelot.io vs. GBase vs. GeoSpock vs. Hypertable vs. IBM Db2 Event Store

Editorial information provided by DB-Engines
NameCachelot.io  Xexclude from comparisonGBase  Xexclude from comparisonGeoSpock  Xexclude from comparisonHypertable  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionIn-memory caching systemWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Spatial and temporal data processing engine for extreme data scaleAn open source BigTable implementation based on distributed file systems such as HadoopDistributed Event Store optimized for Internet of Things use cases
Primary database modelKey-value storeRelational DBMSRelational DBMSWide column storeEvent Store
Time Series DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#383  Overall
#60  Key-value stores
Score1.07
Rank#185  Overall
#86  Relational DBMS
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Websitecachelot.iowww.gbase.cngeospock.comwww.ibm.com/­products/­db2-event-store
Technical documentationwww.ibm.com/­docs/­en/­db2-event-store
DeveloperGeneral Data Technology Co., Ltd.GeoSpockHypertable Inc.IBM
Initial release2015200420092017
Current releaseGBase 8a, GBase 8s, GBase 8c2.0, September 20190.9.8.11, March 20162.0
License infoCommercial or Open SourceOpen Source infoSimplified BSD LicensecommercialcommercialOpen Source infoGNU version 3. Commercial license availablecommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C, Java, PythonJava, JavascriptC++C and C++
Server operating systemsFreeBSD
Linux
OS X
LinuxhostedLinux
OS X
Windows infoan inofficial Windows port is available
Linux infoLinux, macOS, Windows for the developer addition
Data schemeschema-freeyesyesschema-freeyes
Typing infopredefined data types such as float or datenoyesyesnoyes
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.noyesnono
Secondary indexesnoyestemporal, categoricalrestricted infoonly exact value or prefix value scansno
SQL infoSupport of SQLnoStandard with numerous extensionsANSI SQL for query only (using Presto)noyes infothrough the embedded Spark runtime
APIs and other access methodsMemcached protocolADO.NET
C API
JDBC
ODBC
JDBCC++ API
Thrift
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
C#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 proceduresnouser defined functionsnonoyes
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by range, list and hash) and vertical partitioningAutomatic shardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesselectable replication factor on file system levelActive-active shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesNo - written data is immutable
Durability infoSupport for making data persistentnoyesyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storage
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlnoyesAccess rights for users can be defined per tablenofine grained access rights according to SQL-standard

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More resources
Cachelot.ioGBaseGeoSpockHypertableIBM Db2 Event Store
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