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DBMS > Google Cloud Datastore vs. H2 vs. Kdb vs. Sequoiadb

System Properties Comparison Google Cloud Datastore vs. H2 vs. Kdb vs. Sequoiadb

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Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonH2  Xexclude from comparisonKdb  Xexclude from comparisonSequoiadb  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.High performance Time Series DBMSNewSQL database with distributed OLTP and SQL
Primary database modelDocument storeRelational DBMSTime Series DBMS
Vector DBMS
Document store
Relational DBMS
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.47
Rank#76  Overall
#12  Document stores
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Websitecloud.google.com/­datastorewww.h2database.comkx.comwww.sequoiadb.com
Technical documentationcloud.google.com/­datastore/­docswww.h2database.com/­html/­main.htmlcode.kx.comwww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperGoogleThomas MuellerKx Systems, a division of First Derivatives plcSequoiadb Ltd.
Initial release200820052000 infokdb was released 2000, kdb+ in 20032013
Current release2.2.220, July 20233.6, May 2018
License infoCommercial or Open SourcecommercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)commercial infofree 32-bit versionOpen Source infoServer: AGPL; Client: Apache V2
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 languageJavaqC++
Server operating systemshostedAll OS with a Java VMLinux
OS X
Solaris
Windows
Linux
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyes, details hereyesyesyes infooid, date, timestamp, binary, regex
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.nonoyesno
Secondary indexesyesyesyes infotable attribute 'grouped'yes
SQL infoSupport of SQLSQL-like query language (GQL)yesSQL-like query language (q)SQL-like query language
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
ODBC
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
proprietary protocol using JSON
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresusing Google App EngineJava Stored Procedures and User-Defined Functionsuser defined functionsJavaScript
TriggersCallbacks using the Google Apps Engineyesyes infowith viewsno
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosWith clustering: 2 database servers on different computers operate on identical copies of a databaseSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownono infosimilar paradigm used for internal processingno
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 ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDnoDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardrights management via user accountssimple password-based access control
More information provided by the system vendor
Google Cloud DatastoreH2KdbSequoiadb
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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Google Cloud DatastoreH2KdbSequoiadb
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