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DBMS > Google Cloud Datastore vs. Manticore Search vs. PostGIS vs. TimescaleDB

System Properties Comparison Google Cloud Datastore vs. Manticore Search vs. PostGIS vs. TimescaleDB

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Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonManticore Search  Xexclude from comparisonPostGIS  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformMulti-storage database for search, including full-text search.Spatial extension of PostgreSQLA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelDocument storeSearch engineSpatial DBMSTime Series DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar LibraryRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.49
Rank#79  Overall
#12  Document stores
Score0.23
Rank#317  Overall
#21  Search engines
Score23.90
Rank#29  Overall
#1  Spatial DBMS
Score4.87
Rank#74  Overall
#4  Time Series DBMS
Websitecloud.google.com/­datastoremanticoresearch.compostgis.netwww.timescale.com
Technical documentationcloud.google.com/­datastore/­docsmanual.manticoresearch.compostgis.net/­documentationdocs.timescale.com
DeveloperGoogleManticore SoftwareTimescale
Initial release2008201720052017
Current release6.0, February 20233.4.2, February 20242.13.0, November 2023
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2Open Source infoGPL v2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++CC
Server operating systemshostedFreeBSD
Linux
macOS
Windows
Linux
OS X
Windows
Data schemeschema-freeFixed schemayesyes
Typing infopredefined data types such as float or dateyes, details hereInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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 XMLyesyes
Secondary indexesyesyes infofull-text index on all search fieldsyesyes
SQL infoSupport of SQLSQL-like query language (GQL)SQL-like query languageyesyes infofull PostgreSQL SQL syntax
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresusing Google App Engineuser defined functionsuser defined functionsuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
TriggersCallbacks using the Google Apps Enginenoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedyes infobased on PostgreSQLyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosSynchronous replication based on Galera libraryyes infobased on PostgreSQLSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate 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.Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsyes infoisolated transactions for atomic changes and binary logging for safe writesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Manticore index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noyes infobased on PostgreSQLfine grained access rights according to SQL-standard

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More resources
Google Cloud DatastoreManticore SearchPostGISTimescaleDB
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