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DBMS > Heroic vs. InfinityDB vs. Microsoft SQL Server vs. Riak KV

System Properties Comparison Heroic vs. InfinityDB vs. Microsoft SQL Server vs. Riak KV

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Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonInfinityDB  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchA Java embedded Key-Value Store which extends the Java Map interfaceMicrosofts flagship relational DBMSDistributed, fault tolerant key-value store
Primary database modelTime Series DBMSKey-value storeRelational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#285  Overall
#25  Time Series DBMS
Score0.02
Rank#338  Overall
#50  Key-value stores
Score941.20
Rank#3  Overall
#3  Relational DBMS
Score6.63
Rank#64  Overall
#8  Key-value stores
Websitespotify.github.io/­heroic/­#!/­indexboilerbay.comwww.microsoft.com/­en-us/­sql-serverriak.com/­products/­riak-kv
Technical documentationspotify.github.io/­heroic/­#!/­docs/­overviewboilerbay.com/­infinitydb/­manualdocs.microsoft.com/­en-US/­sql/­sql-server
DeveloperSpotifyBoiler Bay Inc.MicrosoftBasho Technologies
Initial release2014200219892009
Current release4.0SQL Server 2019, November 20192.1.0, April 2015
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial inforestricted free version is availableOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC++Erlang
Server operating systemsAll OS with a Java VMLinux
Windows
Linux
OS X
Data schemeschema-freeyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyesschema-free
Typing infopredefined data types such as float or dateyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyesno
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 indexesyes infovia Elasticsearchno infomanual creation possible, using inversions based on multi-value capabilityyesrestricted
SQL infoSupport of SQLnonoyesno
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
HTTP API
Native Erlang Interface
Supported programming languagesJavaC#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresnonoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) JavaJavaScript and Erlang
Triggersnonoyesyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardingnonetables can be distributed across several files (horizontal partitioning); sharding through federationSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyes, but depending on the SQL-Server Editionselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynono infomanual creation possible, using inversions based on multi-value capabilityyesno infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoOptimistic locking for transactions; no isolation for bulk loadsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nonoyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardno

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HeroicInfinityDBMicrosoft SQL ServerRiak KV
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