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DBMS > Google Cloud Datastore vs. Heroic vs. IRONdb vs. OrigoDB vs. SAP SQL Anywhere

System Properties Comparison Google Cloud Datastore vs. Heroic vs. IRONdb vs. OrigoDB vs. SAP SQL Anywhere

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonHeroic  Xexclude from comparisonIRONdb  Xexclude from comparisonOrigoDB  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityA fully ACID in-memory object graph databaseRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelDocument storeTime Series DBMSTime Series DBMSDocument store
Object oriented DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.36
Rank#72  Overall
#12  Document stores
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score3.95
Rank#80  Overall
#42  Relational DBMS
Websitecloud.google.com/­datastoregithub.com/­spotify/­heroicwww.circonus.com/solutions/time-series-database/origodb.comwww.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationcloud.google.com/­datastore/­docsspotify.github.io/­heroicdocs.circonus.com/irondb/category/getting-startedorigodb.com/­docshelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperGoogleSpotifyCirconus LLC.Robert Friberg et alSAP infoformerly Sybase
Initial release2008201420172009 infounder the name LiveDB1992
Current releaseV0.10.20, January 201817, July 2015
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++C#
Server operating systemshostedLinuxLinux
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyes, details hereyesyes infotext, numeric, histogramsUser defined using .NET types and collectionsyes
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 infocan be achieved using .NETyes
Secondary indexesyesyes infovia Elasticsearchnoyesyes
SQL infoSupport of SQLSQL-like query language (GQL)noSQL-like query language (Circonus Analytics Query Language: CAQL)noyes
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
HQL (Heroic Query Language, a JSON-based language)
HTTP API
HTTP API.NET Client API
HTTP API
LINQ
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
.NetC
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresusing Google App Enginenoyes, in Luayesyes, in C/C++, Java, .Net or Perl
TriggersCallbacks using the Google Apps Enginenonoyes infoDomain Eventsyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingAutomatic, metric affinity per nodehorizontal partitioning infoclient side managed; servers are not synchronizednone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosyesconfigurable replication factor, datacenter awareSource-replica replicationSource-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownononono
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
Immediate Consistency
Immediate consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsnonodepending on modelyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsnonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyesyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noRole based authorizationfine grained access rights according to SQL-standard

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More resources
Google Cloud DatastoreHeroicIRONdbOrigoDBSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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