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DBMS > GeoSpock vs. Google Cloud Datastore vs. Manticore Search vs. MonetDB

System Properties Comparison GeoSpock vs. Google Cloud Datastore vs. Manticore Search vs. MonetDB

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Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonManticore Search  Xexclude from comparisonMonetDB  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 scaleAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformMulti-storage database for search, including full-text search.A relational database management system that stores data in columns
Primary database modelRelational DBMSDocument storeSearch engineRelational DBMS
Secondary database modelsTime Series DBMSTime Series DBMS infousing the Manticore Columnar LibraryDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.47
Rank#76  Overall
#12  Document stores
Score0.22
Rank#312  Overall
#21  Search engines
Score1.72
Rank#145  Overall
#67  Relational DBMS
Websitegeospock.comcloud.google.com/­datastoremanticoresearch.comwww.monetdb.org
Technical documentationcloud.google.com/­datastore/­docsmanual.manticoresearch.comwww.monetdb.org/­Documentation
DeveloperGeoSpockGoogleManticore SoftwareMonetDB BV
Initial release200820172004
Current release2.0, September 20196.0, February 2023Dec2023 (11.49), December 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL version 2Open Source infoMozilla Public License 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptC++C
Server operating systemshostedhostedFreeBSD
Linux
macOS
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Data schemeyesschema-freeFixed schemayes
Typing infopredefined data types such as float or dateyesyes, details hereInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes
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 XML
Secondary indexestemporal, categoricalyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLANSI SQL for query only (using Presto)SQL-like query language (GQL)SQL-like query languageyes infoSQL 2003 with some extensions
APIs and other access methodsJDBCgRPC (using protocol buffers) API
RESTful HTTP/JSON API
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresnousing Google App Engineuser defined functionsyes, in SQL, C, R
TriggersnoCallbacks using the Google Apps Enginenoyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding via remote tables
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosSynchronous replication based on Galera librarynone infoSource-replica replication available in experimental status
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.
Foreign keys infoReferential integritynoyes infovia ReferenceProperties or Ancestor pathsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsyes infoisolated transactions for atomic changes and binary logging for safe writesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Manticore index.yes
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 tableAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)nofine grained access rights according to SQL-standard

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More resources
GeoSpockGoogle Cloud DatastoreManticore SearchMonetDB
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