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DBMS > GeoSpock vs. Manticore Search vs. Microsoft Access vs. Postgres-XL vs. RavenDB

System Properties Comparison GeoSpock vs. Manticore Search vs. Microsoft Access vs. Postgres-XL vs. RavenDB

Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonManticore Search  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonPostgres-XL  Xexclude from comparisonRavenDB  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionSpatial and temporal data processing engine for extreme data scaleMulti-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 featuresOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelRelational DBMSSearch engineRelational DBMSRelational DBMSDocument store
Secondary database modelsTime Series DBMSTime Series DBMS infousing the Manticore Columnar LibraryDocument store
Spatial DBMS
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#302  Overall
#21  Search engines
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score2.84
Rank#101  Overall
#18  Document stores
Websitegeospock.commanticoresearch.comwww.microsoft.com/­en-us/­microsoft-365/­accesswww.postgres-xl.orgravendb.net
Technical documentationmanual.manticoresearch.comdeveloper.microsoft.com/­en-us/­accesswww.postgres-xl.org/­documentationravendb.net/­docs
DeveloperGeoSpockManticore SoftwareMicrosoftHibernating Rhinos
Initial release201719922014 infosince 2012, originally named StormDB2010
Current release2.0, September 20196.0, February 20231902 (16.0.11328.20222), March 201910 R1, October 20185.4, July 2022
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2commercial infoBundled with Microsoft OfficeOpen Source infoMozilla public licenseOpen Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, JavascriptC++C++CC#
Server operating systemshostedFreeBSD
Linux
macOS
Windows
Windows infoNot a real database server, but making use of DLLsLinux
macOS
Linux
macOS
Raspberry Pi
Windows
Data schemeyesFixed schemayesyesschema-free
Typing infopredefined data types such as float or dateyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesyesno
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 functionality
Secondary indexestemporal, categoricalyes infofull-text index on all search fieldsyesyesyes
SQL infoSupport of SQLANSI SQL for query only (using Presto)SQL-like query languageyes infobut not compliant to any SQL standardyes infodistributed, parallel query executionSQL-like query language (RQL)
APIs and other access methodsJDBCBinary 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
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesElixir
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
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
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 nodesAutomatic shardingSharding infoPartitioning is done manually, search queries against distributed index is supportednonehorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication based on Galera librarynoneMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integritynonoyesyesno
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, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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 controlAccess rights for users can be defined per tablenono infoa simple user-level security was built in till version Access 2003fine grained access rights according to SQL-standardAuthorization levels configured per client per database

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More resources
GeoSpockManticore SearchMicrosoft AccessPostgres-XLRavenDB
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