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DBMS > Apache Pinot vs. Datomic vs. Microsoft Azure Synapse Analytics vs. NSDb vs. RRDtool

System Properties Comparison Apache Pinot vs. Datomic vs. Microsoft Azure Synapse Analytics vs. NSDb vs. RRDtool

Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonDatomic  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonNSDb  Xexclude from comparisonRRDtool  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesIndustry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.
Primary database modelRelational DBMSRelational DBMSRelational DBMSTime Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score1.90
Rank#132  Overall
#11  Time Series DBMS
Websitepinot.apache.orgwww.datomic.comazure.microsoft.com/­services/­synapse-analyticsnsdb.iooss.oetiker.ch/­rrdtool
Technical documentationdocs.pinot.apache.orgdocs.datomic.comdocs.microsoft.com/­azure/­synapse-analyticsnsdb.io/­Architectureoss.oetiker.ch/­rrdtool/­doc
DeveloperApache Software Foundation and contributorsCognitectMicrosoftTobias Oetiker
Initial release20152012201620171999
Current release1.0.0, September 20231.0.7075, December 20231.8.0, 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infolimited edition freecommercialOpen Source infoApache Version 2.0Open Source infoGPL V2 and FLOSS
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, ClojureC++Java, ScalaC infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systemsAll OS with a Java JDK11 or higherAll OS with a Java VMhostedLinux
macOS
HP-UX
Linux
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes: int, bigint, decimal, stringNumeric data only
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 infoExporting into and restoring from XML files possible
Secondary indexesyesyesall fields are automatically indexedno
SQL infoSupport of SQLSQL-like query languagenoyesSQL-like query languageno
APIs and other access methodsJDBCRESTful HTTP APIADO.NET
JDBC
ODBC
gRPC
HTTP REST
WebSocket
in-process shared library
Pipes
Supported programming languagesGo
Java
Python
Clojure
Java
C#
Java
PHP
Java
Scala
C infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
Server-side scripts infoStored proceduresyes infoTransaction FunctionsTransact SQLnono
TriggersBy using transaction functionsnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnone infoBut extensive use of caching in the application peersSharding, horizontal partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistencynone
Foreign keys infoReferential integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoby using the rrdcached daemon
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyes
User concepts infoAccess controlnoyesno

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More resources
Apache PinotDatomicMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseNSDbRRDtool
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