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DBMS > FatDB vs. GeoSpock vs. Google Cloud Datastore vs. JaguarDB vs. Machbase Neo

System Properties Comparison FatDB vs. GeoSpock vs. Google Cloud Datastore vs. JaguarDB vs. Machbase Neo

Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonGeoSpock  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonJaguarDB  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionA .NET NoSQL DBMS that can integrate with and extend SQL Server.Spatial and temporal data processing engine for extreme data scaleAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformPerformant, highly scalable DBMS for AI and IoT applicationsTimeSeries DBMS for AIoT and BigData
Primary database modelDocument store
Key-value store
Relational DBMSDocument storeKey-value store
Vector DBMS
Time Series DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.47
Rank#76  Overall
#12  Document stores
Score0.00
Rank#383  Overall
#60  Key-value stores
#13  Vector DBMS
Score0.12
Rank#339  Overall
#30  Time Series DBMS
Websitegeospock.comcloud.google.com/­datastorewww.jaguardb.commachbase.com
Technical documentationcloud.google.com/­datastore/­docswww.jaguardb.com/­support.htmlmachbase.com/­dbms
DeveloperFatCloudGeoSpockGoogleDataJaguar, Inc.Machbase
Initial release2012200820152013
Current release2.0, September 20193.3 July 2023V8.0, August 2023
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoGPL V3.0commercial infofree test version available
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#Java, JavascriptC++ infothe server part. Clients available in other languagesC
Server operating systemsWindowshostedhostedLinuxLinux
macOS
Windows
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes, details hereyesyes
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.nononono
Secondary indexesyestemporal, categoricalyesyesyes
SQL infoSupport of SQLno infoVia inetgration in SQL ServerANSI SQL for query only (using Presto)SQL-like query language (GQL)A subset of ANSI SQL is implemented infobut no views, foreign keys, triggersSQL-like query language
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
JDBCgRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
ODBC
gRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
Supported programming languagesC#.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
Server-side scripts infoStored proceduresyes infovia applicationsnousing Google App Enginenono
Triggersyes infovia applicationsnoCallbacks using the Google Apps Enginenono
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication using PaxosMulti-source replicationselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate 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.Eventual Consistency
Foreign keys infoReferential integritynonoyes infovia ReferenceProperties or Ancestor pathsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesno
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes infovolatile and lookup table
User concepts infoAccess controlno infoCan implement custom security layer via applicationsAccess rights for users can be defined per tableAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)rights management via user accountssimple password-based access control

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More resources
FatDBGeoSpockGoogle Cloud DatastoreJaguarDBMachbase Neo infoFormer name was Infiniflux
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