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

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

Editorial information provided by DB-Engines
NameCachelot.io  Xexclude from comparisonGBase  Xexclude from comparisonHypertable  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonSolr  Xexclude from comparison
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.An open source BigTable implementation based on distributed file systems such as HadoopDistributed Event Store optimized for Internet of Things use casesA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelKey-value storeRelational DBMSWide column storeEvent Store
Time Series DBMS
Search engine
Secondary database modelsSpatial 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
Score42.91
Rank#24  Overall
#3  Search engines
Websitecachelot.iowww.gbase.cnwww.ibm.com/­products/­db2-event-storesolr.apache.org
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storesolr.apache.org/­resources.html
DeveloperGeneral Data Technology Co., Ltd.Hypertable Inc.IBMApache Software Foundation
Initial release20152004200920172006
Current releaseGBase 8a, GBase 8s, GBase 8c0.9.8.11, March 20162.09.6.0, April 2024
License infoCommercial or Open SourceOpen Source infoSimplified BSD LicensecommercialOpen Source infoGNU version 3. Commercial license availablecommercial infofree developer edition availableOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C, Java, PythonC++C and C++Java
Server operating systemsFreeBSD
Linux
OS X
LinuxLinux
OS X
Windows infoan inofficial Windows port is available
Linux infoLinux, macOS, Windows for the developer additionAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-freeyesschema-freeyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or datenoyesnoyesyes infosupports customizable data types and automatic typing
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.noyesnoyes
Secondary indexesnoyesrestricted infoonly exact value or prefix value scansnoyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnoStandard with numerous extensionsnoyes infothrough the embedded Spark runtimeSolr Parallel SQL Interface
APIs and other access methodsMemcached protocolADO.NET
C API
JDBC
ODBC
C++ API
Thrift
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Java API
RESTful HTTP/JSON 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
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnouser defined functionsnoyesJava plugins
Triggersnoyesnonoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by range, list and hash) and vertical partitioningShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesselectable replication factor on file system levelActive-active shard replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesNo - written data is immutableyes
Durability infoSupport for making data persistentnoyesyesYes - 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.noyesyes
User concepts infoAccess controlnoyesnofine grained access rights according to SQL-standardyes

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More resources
Cachelot.ioGBaseHypertableIBM Db2 Event StoreSolr
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