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DBMS > Google Cloud Datastore vs. KairosDB vs. Microsoft Azure Synapse Analytics vs. PouchDB vs. TerminusDB

System Properties Comparison Google Cloud Datastore vs. KairosDB vs. Microsoft Azure Synapse Analytics vs. PouchDB vs. TerminusDB

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonKairosDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonPouchDB  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformDistributed Time Series DBMS based on Cassandra or H2Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerJavaScript DBMS with an API inspired by CouchDBScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelDocument storeTime Series DBMSRelational DBMSDocument storeGraph DBMS
Secondary database modelsDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.36
Rank#72  Overall
#12  Document stores
Score0.67
Rank#233  Overall
#20  Time Series DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Score0.23
Rank#316  Overall
#27  Graph DBMS
Websitecloud.google.com/­datastoregithub.com/­kairosdb/­kairosdbazure.microsoft.com/­services/­synapse-analyticspouchdb.comterminusdb.com
Technical documentationcloud.google.com/­datastore/­docskairosdb.github.iodocs.microsoft.com/­azure/­synapse-analyticspouchdb.com/­guidesterminusdb.github.io/­terminusdb/­#
DeveloperGoogleMicrosoftApache Software FoundationDataChemist Ltd.
Initial release20082013201620122018
Current release1.2.2, November 20187.1.1, June 201911.0.0, January 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen SourceOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++JavaScriptProlog, Rust
Server operating systemshostedLinux
OS X
Windows
hostedserver-less, requires a JavaScript environment (browser, Node.js)Linux
Data schemeschema-freeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyes, details hereyesyesnoyes
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.nonononono
Secondary indexesyesnoyesyes infovia views
SQL infoSupport of SQLSQL-like query language (GQL)noyesnoSQL-like query language (WOQL)
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
Graphite protocol
HTTP REST
Telnet API
ADO.NET
JDBC
ODBC
HTTP REST infoonly for PouchDB Server
JavaScript API
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
JavaScript infoNode.js
PHP
Python
C#
Java
PHP
JavaScriptJavaScript
Python
Server-side scripts infoStored proceduresusing Google App EnginenoTransact SQLView functions in JavaScriptyes
TriggersCallbacks using the Google Apps Enginenonoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraSharding, horizontal partitioningSharding infowith a proxy-based framework, named couchdb-loungeGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosselectable replication factor infobased on CassandrayesMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Journaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownonoyesno
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.Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsnono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsnoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)simple password-based access controlyesnoRole-based access control

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More resources
Google Cloud DatastoreKairosDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehousePouchDBTerminusDB infoformer name was DataChemist
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