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DBMS > Graphite vs. Manticore Search vs. Microsoft Access vs. Postgres-XL vs. WakandaDB

System Properties Comparison Graphite vs. Manticore Search vs. Microsoft Access vs. Postgres-XL vs. WakandaDB

Editorial information provided by DB-Engines
NameGraphite  Xexclude from comparisonManticore Search  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonPostgres-XL  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperMulti-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.)Based on PostgreSQL enhanced with MPP and write-scale-out cluster featuresWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelTime Series DBMSSearch engineRelational DBMSRelational DBMSObject oriented DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar LibraryDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.57
Rank#73  Overall
#5  Time Series DBMS
Score0.22
Rank#312  Overall
#21  Search engines
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitegithub.com/­graphite-project/­graphite-webmanticoresearch.comwww.microsoft.com/­en-us/­microsoft-365/­accesswww.postgres-xl.orgwakanda.github.io
Technical documentationgraphite.readthedocs.iomanual.manticoresearch.comdeveloper.microsoft.com/­en-us/­accesswww.postgres-xl.org/­documentationwakanda.github.io/­doc
DeveloperChris DavisManticore SoftwareMicrosoftWakanda SAS
Initial release2006201719922014 infosince 2012, originally named StormDB2012
Current release6.0, February 20231902 (16.0.11328.20222), March 201910 R1, October 20182.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGPL version 2commercial infoBundled with Microsoft OfficeOpen Source infoMozilla public licenseOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonC++C++CC++, JavaScript
Server operating systemsLinux
Unix
FreeBSD
Linux
macOS
Windows
Windows infoNot a real database server, but making use of DLLsLinux
macOS
Linux
OS X
Windows
Data schemeyesFixed schemayesyesyes
Typing infopredefined data types such as float or dateNumeric data onlyInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesyesyes
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 XMLyes infoXML type, but no XML query functionalityno
Secondary indexesnoyes infofull-text index on all search fieldsyesyes
SQL infoSupport of SQLnoSQL-like query languageyes infobut not compliant to any SQL standardyes infodistributed, parallel query executionno
APIs and other access methodsHTTP API
Sockets
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
ADO.NET
DAO
ODBC
OLE DB
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP API
Supported programming languagesJavaScript (Node.js)
Python
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
JavaScript
Server-side scripts infoStored proceduresnouser defined functionsyes infosince Access 2010 using the ACE-engineuser defined functionsyes
Triggersnonoyes infosince Access 2010 using the ACE-engineyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoPartitioning is done manually, search queries against distributed index is supportednonehorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSynchronous replication based on Galera librarynonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
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 loggingACID infoMVCCACID
Concurrency infoSupport for concurrent manipulation of datayes infolockingyesyesyesyes
Durability infoSupport for making data persistentyesyes 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.nono
User concepts infoAccess controlnonono infoa simple user-level security was built in till version Access 2003fine grained access rights according to SQL-standardyes

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More resources
GraphiteManticore SearchMicrosoft AccessPostgres-XLWakandaDB
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