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DBMS > Google Cloud Datastore vs. PostGIS vs. SAP SQL Anywhere vs. SingleStore vs. SwayDB

System Properties Comparison Google Cloud Datastore vs. PostGIS vs. SAP SQL Anywhere vs. SingleStore vs. SwayDB

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonPostGIS  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonSwayDB  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformSpatial extension of PostgreSQLRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table typeAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelDocument storeSpatial DBMSRelational DBMSRelational DBMSKey-value store
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.13
Rank#71  Overall
#12  Document stores
Score20.16
Rank#29  Overall
#1  Spatial DBMS
Score3.50
Rank#81  Overall
#44  Relational DBMS
Score4.02
Rank#74  Overall
#39  Relational DBMS
Score0.00
Rank#384  Overall
#60  Key-value stores
Websitecloud.google.com/­datastorepostgis.netwww.sap.com/­products/­technology-platform/­sql-anywhere.htmlwww.singlestore.comswaydb.simer.au
Technical documentationcloud.google.com/­datastore/­docspostgis.net/­documentationhelp.sap.com/­docs/­SAP_SQL_Anywheredocs.singlestore.com
DeveloperGoogleSAP infoformerly SybaseSingleStore Inc.Simer Plaha
Initial release20082005199220132018
Current release3.4.2, February 202417, July 20158.5, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoGPL v2.0commercialcommercial infofree developer edition availableOpen Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++, GoScala
Server operating systemshostedAIX
HP-UX
Linux
OS X
Solaris
Windows
Linux info64 bit version required
Data schemeschema-freeyesyesyesschema-free
Typing infopredefined data types such as float or dateyes, details hereyesyesyesno
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.noyesyesnono
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLSQL-like query language (GQL)yesyesyes infobut no triggers and foreign keysno
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
ADO.NET
HTTP API
JDBC
ODBC
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Bash
C
C#
Java
JavaScript (Node.js)
Python
Java
Kotlin
Scala
Server-side scripts infoStored proceduresusing Google App Engineuser defined functionsyes, in C/C++, Java, .Net or Perlyesno
TriggersCallbacks using the Google Apps Engineyesyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingyes infobased on PostgreSQLnoneSharding infohash partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosyes infobased on PostgreSQLSource-replica replication infoDatabase mirroringSource-replica replication infostores two copies of each physical data partition on two separate nodesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownonono infocan define user-defined aggregate functions for map-reduce-style calculationsno
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 ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDACIDACIDAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyesyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yes infobased on PostgreSQLfine grained access rights according to SQL-standardFine grained access control via users, groups and rolesno

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More resources
Google Cloud DatastorePostGISSAP SQL Anywhere infoformerly called Adaptive Server AnywhereSingleStore infoformer name was MemSQLSwayDB
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