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DBMS > LevelDB vs. Machbase Neo vs. Manticore Search vs. Microsoft Access vs. Tkrzw

System Properties Comparison LevelDB vs. Machbase Neo vs. Manticore Search vs. Microsoft Access vs. Tkrzw

Editorial information provided by DB-Engines
NameLevelDB  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonManticore Search  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesTimeSeries DBMS for AIoT and BigDataMulti-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 Cabinet
Primary database modelKey-value storeTime Series DBMSSearch engineRelational DBMSKey-value store
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
Score0.12
Rank#339  Overall
#30  Time Series DBMS
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
Websitegithub.com/­google/­leveldbmachbase.commanticoresearch.comwww.microsoft.com/­en-us/­microsoft-365/­accessdbmx.net/­tkrzw
Technical documentationgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdmachbase.com/­dbmsmanual.manticoresearch.comdeveloper.microsoft.com/­en-us/­access
DeveloperGoogleMachbaseManticore SoftwareMicrosoftMikio Hirabayashi
Initial release20112013201719922020
Current release1.23, February 2021V8.0, August 20236.0, February 20231902 (16.0.11328.20222), March 20190.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoBSDcommercial infofree test version availableOpen Source infoGPL version 2commercial infoBundled with Microsoft OfficeOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CC++C++C++
Server operating systemsIllumos
Linux
OS X
Windows
Linux
macOS
Windows
FreeBSD
Linux
macOS
Windows
Windows infoNot a real database server, but making use of DLLsLinux
macOS
Data schemeschema-freeyesFixed schemayesschema-free
Typing infopredefined data types such as float or datenoyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesno
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.nonoCan index from XMLno
Secondary indexesnoyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLnoSQL-like query languageSQL-like query languageyes infobut not compliant to any SQL standardno
APIs and other access methodsgRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
ADO.NET
DAO
ODBC
OLE DB
Supported programming languagesC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnonouser defined functionsyes infosince Access 2010 using the ACE-engineno
Triggersnononoyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoPartitioning is done manually, search queries against distributed index is supportednonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factorSynchronous replication based on Galera librarynonenone
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 integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoyes infoisolated transactions for atomic changes and binary logging for safe writesACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith automatic compression on writesnoyes infoThe original contents of fields are not stored in the Manticore index.yes infobut no files for transaction loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infovolatile and lookup tableyes infousing specific database classes
User concepts infoAccess controlnosimple password-based access controlnono infoa simple user-level security was built in till version Access 2003no

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More resources
LevelDBMachbase Neo infoFormer name was InfinifluxManticore SearchMicrosoft AccessTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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