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DBMS > Amazon CloudSearch vs. HBase vs. InterSystems Caché vs. TimescaleDB

System Properties Comparison Amazon CloudSearch vs. HBase vs. InterSystems Caché vs. TimescaleDB

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonHBase  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonTimescaleDB  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudWide-column store based on Apache Hadoop and on concepts of BigTableA multi-model DBMS and application serverA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelSearch engineWide column storeKey-value store
Object oriented DBMS
Relational DBMS
Time Series DBMS
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#137  Overall
#12  Search engines
Score27.97
Rank#26  Overall
#2  Wide column stores
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Websiteaws.amazon.com/­cloudsearchhbase.apache.orgwww.intersystems.com/­products/­cachewww.timescale.com
Technical documentationdocs.aws.amazon.com/­cloudsearchhbase.apache.org/­book.htmldocs.intersystems.comdocs.timescale.com
DeveloperAmazonApache Software Foundation infoApache top-level project, originally developed by PowersetInterSystemsTimescale
Initial release2012200819972017
Current release2.3.4, January 20212018.1.4, May 20202.15.0, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC
Server operating systemshostedLinux
Unix
Windows infousing Cygwin
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeyesschema-free, schema definition possibledepending on used data modelyes
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.noyesyes
Secondary indexesyes infoall search fields are automatically indexednoyesyes
SQL infoSupport of SQLnonoyesyes infofull PostgreSQL SQL syntax
APIs and other access methodsHTTP APIJava API
RESTful HTTP API
Thrift
.NET Client API
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
C#
C++
Java
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoyes infoCoprocessors in Javayesuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardingnoneyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSMulti-source replication
Source-replica replication
Source-replica replicationSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoSingle row ACID (across millions of columns)ACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlauthentication via encrypted signaturesAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAccess rights for users, groups and rolesfine grained access rights according to SQL-standard

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More resources
Amazon CloudSearchHBaseInterSystems CachéTimescaleDB
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