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DBMS > Hypertable vs. IRONdb vs. SAP SQL Anywhere vs. Sphinx vs. TimescaleDB

System Properties Comparison Hypertable vs. IRONdb vs. SAP SQL Anywhere vs. Sphinx vs. TimescaleDB

Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonIRONdb  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonSphinx  Xexclude from comparisonTimescaleDB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAn open source BigTable implementation based on distributed file systems such as HadoopA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsOpen source search engine for searching in data from different sources, e.g. relational databasesA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelWide column storeTime Series DBMSRelational DBMSSearch engineTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.25
Rank#79  Overall
#43  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Websitewww.circonus.com/solutions/time-series-database/www.sap.com/­products/­technology-platform/­sql-anywhere.htmlsphinxsearch.comwww.timescale.com
Technical documentationdocs.circonus.com/irondb/category/getting-startedhelp.sap.com/­docs/­SAP_SQL_Anywheresphinxsearch.com/­docsdocs.timescale.com
DeveloperHypertable Inc.Circonus LLC.SAP infoformerly SybaseSphinx Technologies Inc.Timescale
Initial release20092017199220012017
Current release0.9.8.11, March 2016V0.10.20, January 201817, July 20153.5.1, February 20232.13.0, November 2023
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availablecommercialcommercialOpen Source infoGPL version 2, commercial licence availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C and C++C++C
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
LinuxAIX
HP-UX
Linux
OS X
Solaris
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyes infotext, numeric, histogramsyesnonumerics, 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 indexesrestricted infoonly exact value or prefix value scansnoyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLnoSQL-like query language (Circonus Analytics Query Language: CAQL)yesSQL-like query language (SphinxQL)yes infofull PostgreSQL SQL syntax
APIs and other access methodsC++ API
Thrift
HTTP APIADO.NET
HTTP API
JDBC
ODBC
Proprietary protocolADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoyes, in Luayes, in C/C++, Java, .Net or Perlnouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnonoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic, metric affinity per nodenoneSharding infoPartitioning is done manually, search queries against distributed index is supportedyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelconfigurable replication factor, datacenter awareSource-replica replication infoDatabase mirroringnoneSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlnonofine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard

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More resources
HypertableIRONdbSAP SQL Anywhere infoformerly called Adaptive Server AnywhereSphinxTimescaleDB
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