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DBMS > Heroic vs. IRONdb vs. OrigoDB vs. SAP SQL Anywhere vs. Splice Machine

System Properties Comparison Heroic vs. IRONdb vs. OrigoDB vs. SAP SQL Anywhere vs. Splice Machine

Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonIRONdb  Xexclude from comparisonOrigoDB  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonSplice Machine  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionTime 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 environmentsOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelTime Series DBMSTime Series DBMSDocument store
Object oriented DBMS
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
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
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitegithub.com/­spotify/­heroicwww.circonus.com/solutions/time-series-database/origodb.comwww.sap.com/­products/­technology-platform/­sql-anywhere.htmlsplicemachine.com
Technical documentationspotify.github.io/­heroicdocs.circonus.com/irondb/category/getting-startedorigodb.com/­docshelp.sap.com/­docs/­SAP_SQL_Anywheresplicemachine.com/­how-it-works
DeveloperSpotifyCirconus LLC.Robert Friberg et alSAP infoformerly SybaseSplice Machine
Initial release201420172009 infounder the name LiveDB19922014
Current releaseV0.10.20, January 201817, July 20153.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen SourcecommercialOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++C#Java
Server operating systemsLinuxLinux
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramsUser defined using .NET types and collectionsyesyes
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.nonono infocan be achieved using .NETyes
Secondary indexesyes infovia Elasticsearchnoyesyesyes
SQL infoSupport of SQLnoSQL-like query language (Circonus Analytics Query Language: CAQL)noyesyes
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
HTTP API.NET Client API
HTTP API
LINQ
ADO.NET
HTTP API
JDBC
ODBC
JDBC
Native Spark Datasource
ODBC
Supported programming languages.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
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoyes, in Luayesyes, in C/C++, Java, .Net or Perlyes infoJava
Triggersnonoyes infoDomain Eventsyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic, metric affinity per nodehorizontal partitioning infoclient side managed; servers are not synchronizednoneShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesconfigurable replication factor, datacenter awareSource-replica replicationSource-replica replication infoDatabase mirroringMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate consistency per node, eventual consistency across nodesImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonodepending on modelyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyesyes
User concepts infoAccess controlnoRole based authorizationfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standard

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More resources
HeroicIRONdbOrigoDBSAP SQL Anywhere infoformerly called Adaptive Server AnywhereSplice Machine
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