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

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

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonHypertable  Xexclude from comparisonIRONdb  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonSphinx  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.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.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.An 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 databases
Primary database modelRelational DBMSWide column storeTime Series DBMSRelational DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.89
Rank#77  Overall
#42  Relational DBMS
Score6.06
Rank#61  Overall
#6  Search engines
Websitewww.circonus.com/solutions/time-series-database/www.sap.com/­products/­technology-platform/­sql-anywhere.htmlsphinxsearch.com
Technical documentationdocs.circonus.com/irondb/category/getting-startedhelp.sap.com/­docs/­SAP_SQL_Anywheresphinxsearch.com/­docs
DeveloperDrizzle project, originally started by Brian AkerHypertable Inc.Circonus LLC.SAP infoformerly SybaseSphinx Technologies Inc.
Initial release20082009201719922001
Current release7.2.4, September 20120.9.8.11, March 2016V0.10.20, January 201817, July 20153.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoGNU version 3. Commercial license availablecommercialcommercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++C and C++C++
Server operating systemsFreeBSD
Linux
OS X
Linux
OS X
Windows infoan inofficial Windows port is available
LinuxAIX
HP-UX
Linux
OS X
Solaris
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyes infotext, numeric, histogramsyesno
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.noyes
Secondary indexesyesrestricted infoonly exact value or prefix value scansnoyesyes infofull-text index on all search fields
SQL infoSupport of SQLyes infowith proprietary extensionsnoSQL-like query language (Circonus Analytics Query Language: CAQL)yesSQL-like query language (SphinxQL)
APIs and other access methodsJDBCC++ API
Thrift
HTTP APIADO.NET
HTTP API
JDBC
ODBC
Proprietary protocol
Supported programming languagesC
C++
Java
PHP
C++
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
Server-side scripts infoStored proceduresnonoyes, in Luayes, in C/C++, Java, .Net or Perlno
Triggersno infohooks for callbacks inside the server can be used.nonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingAutomatic, metric affinity per nodenoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factor on file system levelconfigurable replication factor, datacenter awareSource-replica replication infoDatabase mirroringnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDno
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.noyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPnonofine grained access rights according to SQL-standardno

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More resources
DrizzleHypertableIRONdbSAP SQL Anywhere infoformerly called Adaptive Server AnywhereSphinx
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