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

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

Editorial information provided by DB-Engines
NameDuckDB  Xexclude from comparisonHeroic  Xexclude from comparisonInfinityDB  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionAn embeddable, in-process, column-oriented SQL OLAP RDBMSTime 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 modelRelational DBMSTime 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
Score4.57
Rank#74  Overall
#40  Relational DBMS
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score0.00
Rank#378  Overall
#57  Key-value stores
Score824.29
Rank#3  Overall
#3  Relational DBMS
Score4.10
Rank#82  Overall
#9  Key-value stores
Websiteduckdb.orggithub.com/­spotify/­heroicboilerbay.comwww.microsoft.com/­en-us/­sql-server
Technical documentationduckdb.org/­docsspotify.github.io/­heroicboilerbay.com/­infinitydb/­manuallearn.microsoft.com/­en-US/­sql/­sql-serverwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperSpotifyBoiler Bay Inc.MicrosoftOpenSource, formerly Basho Technologies
Initial release20182014200219892009
Current release0.10, February 20244.0SQL Server 2022, November 20223.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache 2.0commercialcommercial inforestricted free version is availableOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
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Implementation languageC++JavaJavaC++Erlang
Server operating systemsserver-lessAll OS with a Java VMLinux
Windows
Linux
OS X
Data schemeyesschema-freeyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyesschema-free
Typing infopredefined data types such as float or dateyesyesyes 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.nononoyesno
Secondary indexesyesyes infovia Elasticsearchno infomanual creation possible, using inversions based on multi-value capabilityyesrestricted
SQL infoSupport of SQLyesnonoyesno
APIs and other access methodsArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
HQL (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 languagesC
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
JavaC#
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 proceduresnononoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) JavaErlang
Triggersnononoyesyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnonetables 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 nodesnoneyesnoneyes, but depending on the SQL-Server Editionselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono 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 dataACIDnoACID infoOptimistic locking for transactions; no isolation for bulk loadsACIDno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlnonofine grained access rights according to SQL-standardyes, using Riak Security

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More resources
DuckDBHeroicInfinityDBMicrosoft SQL ServerRiak KV
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