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DBMS > LevelDB vs. Manticore Search vs. Microsoft Access vs. Tkrzw vs. Typesense

System Properties Comparison LevelDB vs. Manticore Search vs. Microsoft Access vs. Tkrzw vs. Typesense

Editorial information provided by DB-Engines
NameLevelDB  Xexclude from comparisonManticore Search  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonTypesense  Xexclude from comparison
DescriptionEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesMulti-storage database for search, including full-text search.Microsoft 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.)A concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto CabinetA typo-tolerant, in-memory search engine optimized for instant search-as-you-type experiences and developer productivity
Primary database modelKey-value storeSearch engineRelational DBMSKey-value storeSearch engine
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.35
Rank#111  Overall
#19  Key-value stores
Score0.22
Rank#312  Overall
#21  Search engines
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Score0.79
Rank#210  Overall
#14  Search engines
Websitegithub.com/­google/­leveldbmanticoresearch.comwww.microsoft.com/­en-us/­microsoft-365/­accessdbmx.net/­tkrzwtypesense.org
Technical documentationgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdmanual.manticoresearch.comdeveloper.microsoft.com/­en-us/­accesstypesense.org/­docs
DeveloperGoogleManticore SoftwareMicrosoftMikio Hirabayashi
Initial release20112017199220202015
Current release1.23, February 20216.0, February 20231902 (16.0.11328.20222), March 20190.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoBSDOpen Source infoGPL version 2commercial infoBundled with Microsoft OfficeOpen Source infoApache Version 2.0Open Source infoGPL V3
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++C++C++
Server operating systemsIllumos
Linux
OS X
Windows
FreeBSD
Linux
macOS
Windows
Windows infoNot a real database server, but making use of DLLsLinux
macOS
Linux
Data schemeschema-freeFixed schemayesschema-freeschema-free infopre-defined schema optional
Typing infopredefined data types such as float or datenoInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesnoyes
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.noCan index from XMLno
Secondary indexesnoyes infofull-text index on all search fieldsyesyes
SQL infoSupport of SQLnoSQL-like query languageyes infobut not compliant to any SQL standardnono
APIs and other access methodsBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
ADO.NET
DAO
ODBC
OLE DB
RESTful HTTP API
Supported programming languagesC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C++
Java
Python
Ruby
.Net infocommunity maintained
Clojure infocommunity maintained
Dart infocommunity maintained
Go infocommunity maintained
Java infocommunity maintained
JavaScript
Perl infocommunity maintained
PHP
Python
Ruby
Rust infocommunity maintained
Swift infocommunity maintained
Server-side scripts infoStored proceduresnouser defined functionsyes infosince Access 2010 using the ACE-enginenono
Triggersnonoyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoPartitioning is done manually, search queries against distributed index is supportednonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSynchronous replication based on Galera librarynonenoneMulti-source replication using RAFT
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 integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes infoisolated transactions for atomic changes and binary logging for safe writesACID infobut no files for transaction loggingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith automatic compression on writesyes infoThe original contents of fields are not stored in the Manticore index.yes infobut no files for transaction loggingyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infousing specific database classesyes
User concepts infoAccess controlnonono infoa simple user-level security was built in till version Access 2003no

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More resources
LevelDBManticore SearchMicrosoft AccessTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetTypesense
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