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DBMS > Drizzle vs. EJDB vs. Hypertable vs. Newts vs. Sphinx

System Properties Comparison Drizzle vs. EJDB vs. Hypertable vs. Newts vs. Sphinx

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonEJDB  Xexclude from comparisonHypertable  Xexclude from comparisonNewts  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.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Embeddable document-store database library with JSON representation of queries (in MongoDB style)An open source BigTable implementation based on distributed file systems such as HadoopTime Series DBMS based on CassandraOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSDocument storeWide column storeTime Series DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#297  Overall
#44  Document stores
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitegithub.com/­Softmotions/­ejdbopennms.github.io/­newtssphinxsearch.com
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdgithub.com/­OpenNMS/­newts/­wikisphinxsearch.com/­docs
DeveloperDrizzle project, originally started by Brian AkerSoftmotionsHypertable Inc.OpenNMS GroupSphinx Technologies Inc.
Initial release20082012200920142001
Current release7.2.4, September 20120.9.8.11, March 20163.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoGPLv2Open Source infoGNU version 3. Commercial license availableOpen Source infoApache 2.0Open 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++CC++JavaC++
Server operating systemsFreeBSD
Linux
OS X
server-lessLinux
OS X
Windows infoan inofficial Windows port is available
Linux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, bool, date, object_idnoyesno
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.no
Secondary indexesyesnorestricted infoonly exact value or prefix value scansnoyes infofull-text index on all search fields
SQL infoSupport of SQLyes infowith proprietary extensionsnononoSQL-like query language (SphinxQL)
APIs and other access methodsJDBCin-process shared libraryC++ API
Thrift
HTTP REST
Java API
Proprietary protocol
Supported programming languagesC
C++
Java
PHP
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C++
Java
Perl
PHP
Python
Ruby
JavaC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnonononono
Triggersno infohooks for callbacks inside the server can be used.nononono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding infobased on CassandraSharding 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
noneselectable replication factor on file system levelselectable replication factor infobased on Cassandranone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integrityyesno infotypically not needed, however similar functionality with collection joins possiblenonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononono
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyesyesyes
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.no
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPnononono

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More resources
DrizzleEJDBHypertableNewtsSphinx
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