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DBMS > Drizzle vs. LevelDB vs. Microsoft Access vs. Sphinx vs. SQream DB

System Properties Comparison Drizzle vs. LevelDB vs. Microsoft Access vs. Sphinx vs. SQream DB

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonLevelDB  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonSphinx  Xexclude from comparisonSQream DB  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.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Embeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)Open source search engine for searching in data from different sources, e.g. relational databasesa GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelRelational DBMSKey-value storeRelational DBMSSearch engineRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.35
Rank#111  Overall
#19  Key-value stores
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score0.70
Rank#227  Overall
#104  Relational DBMS
Websitegithub.com/­google/­leveldbwww.microsoft.com/­en-us/­microsoft-365/­accesssphinxsearch.comsqream.com
Technical documentationgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddeveloper.microsoft.com/­en-us/­accesssphinxsearch.com/­docsdocs.sqream.com
DeveloperDrizzle project, originally started by Brian AkerGoogleMicrosoftSphinx Technologies Inc.SQream Technologies
Initial release20082011199220012017
Current release7.2.4, September 20121.23, February 20211902 (16.0.11328.20222), March 20193.5.1, February 20232022.1.6, December 2022
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoBSDcommercial infoBundled with Microsoft OfficeOpen Source infoGPL version 2, commercial licence availablecommercial
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 languageC++C++C++C++C++, CUDA, Haskell, Java, Scala
Server operating systemsFreeBSD
Linux
OS X
Illumos
Linux
OS X
Windows
Windows infoNot a real database server, but making use of DLLsFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesnoyesnoyes, ANSI Standard SQL 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.no
Secondary indexesyesnoyesyes infofull-text index on all search fieldsno
SQL infoSupport of SQLyes infowith proprietary extensionsnoyes infobut not compliant to any SQL standardSQL-like query language (SphinxQL)yes
APIs and other access methodsJDBCADO.NET
DAO
ODBC
OLE DB
Proprietary protocol.Net
JDBC
ODBC
Supported programming languagesC
C++
Java
PHP
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonoyes infosince Access 2010 using the ACE-enginenouser defined functions in Python
Triggersno infohooks for callbacks inside the server can be used.noyes infosince Access 2010 using the ACE-enginenono
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneSharding infoPartitioning is done manually, search queries against distributed index is supportedhorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
nonenonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infobut no files for transaction loggingnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyes infobut no files for transaction loggingyes infoThe original contents of fields are not stored in the Sphinx index.yes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPnono infoa simple user-level security was built in till version Access 2003no

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More resources
DrizzleLevelDBMicrosoft AccessSphinxSQream DB
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