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DBMS > Citus vs. IRONdb vs. OpenEdge vs. OpenTSDB vs. Sphinx

System Properties Comparison Citus vs. IRONdb vs. OpenEdge vs. OpenTSDB vs. Sphinx

Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonIRONdb  Xexclude from comparisonOpenEdge  Xexclude from comparisonOpenTSDB  Xexclude from comparisonSphinx  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityApplication development environment with integrated database management systemScalable Time Series DBMS based on HBaseOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSTime Series DBMSRelational DBMSTime Series DBMSSearch engine
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.21
Rank#118  Overall
#56  Relational DBMS
Score3.51
Rank#86  Overall
#46  Relational DBMS
Score1.68
Rank#146  Overall
#12  Time Series DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitewww.citusdata.comwww.circonus.com/solutions/time-series-database/www.progress.com/­openedgeopentsdb.netsphinxsearch.com
Technical documentationdocs.citusdata.comdocs.circonus.com/irondb/category/getting-starteddocumentation.progress.com/­output/­ua/­OpenEdge_latestopentsdb.net/­docs/­build/­html/­index.htmlsphinxsearch.com/­docs
DeveloperCirconus LLC.Progress Software Corporationcurrently maintained by Yahoo and other contributorsSphinx Technologies Inc.
Initial release20102017198420112001
Current release8.1, December 2018V0.10.20, January 2018OpenEdge 12.2, March 20203.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availablecommercialcommercialOpen Source infoLGPLOpen Source infoGPL version 2, commercial licence available
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 languageCC and C++JavaC++
Server operating systemsLinuxLinuxAIX
HP-UX
Linux
Solaris
Windows
Linux
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramsyesnumeric data for metrics, strings for tagsno
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.yes infospecific XML type available, but no XML query functionalitynoyesno
Secondary indexesyesnoyesnoyes infofull-text index on all search fields
SQL infoSupport of SQLyes infostandard, with numerous extensionsSQL-like query language (Circonus Analytics Query Language: CAQL)yes infoclose to SQL 92noSQL-like query language (SphinxQL)
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP APIJDBC
ODBC
HTTP API
Telnet API
Proprietary protocol
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Progress proprietary ABL (Advanced Business Language)Erlang
Go
Java
Python
R
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes, in Luayesnono
Triggersyesnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic, metric affinity per nodehorizontal partitioning infosince Version 11.4Sharding infobased on HBaseSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsconfigurable replication factor, datacenter awareSource-replica replicationselectable replication factor infobased on HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integrityyesnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononono
User concepts infoAccess controlfine grained access rights according to SQL-standardnoUsers and groupsnono

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More resources
CitusIRONdbOpenEdgeOpenTSDBSphinx
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