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DBMS > Apache Pinot vs. BigchainDB vs. Microsoft SQL Server vs. TimescaleDB

System Properties Comparison Apache Pinot vs. BigchainDB vs. Microsoft SQL Server vs. TimescaleDB

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonBigchainDB  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsMicrosofts flagship relational DBMSA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelRelational DBMSDocument storeRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.34
Rank#275  Overall
#128  Relational DBMS
Score0.76
Rank#215  Overall
#36  Document stores
Score802.09
Rank#3  Overall
#3  Relational DBMS
Score3.79
Rank#74  Overall
#5  Time Series DBMS
Websitepinot.apache.orgwww.bigchaindb.comwww.microsoft.com/­en-us/­sql-serverwww.timescale.com
Technical documentationdocs.pinot.apache.orgbigchaindb.readthedocs.io/­en/­latestlearn.microsoft.com/­en-US/­sql/­sql-serverdocs.timescale.com
DeveloperApache Software Foundation and contributorsMicrosoftTimescale
Initial release2015201619892017
Current release1.0.0, September 2023SQL Server 2022, November 20222.15.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoAGPL v3commercial inforestricted free version is availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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SQLServer Flex @ STACKIT offers a managed version of SQL Server with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
Implementation languageJavaPythonC++C
Server operating systemsAll OS with a Java JDK11 or higherLinuxLinux
Windows
Linux
OS X
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.noyesyes
Secondary indexesyesyes
SQL infoSupport of SQLSQL-like query languagenoyesyes infofull PostgreSQL SQL syntax
APIs and other access methodsJDBCCLI Client
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesGo
Java
Python
Go
Haskell
Java
JavaScript
Python
Ruby
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javauser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingtables can be distributed across several files (horizontal partitioning); sharding through federationyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes, but depending on the SQL-Server EditionSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlyesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Apache PinotBigchainDBMicrosoft SQL ServerTimescaleDB
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