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DBMS > Apache Pinot vs. Databricks vs. NSDb

System Properties Comparison Apache Pinot vs. Databricks vs. NSDb

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonDatabricks  Xexclude from comparisonNSDb  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes
Primary database modelRelational DBMSDocument store
Relational DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Websitepinot.apache.orgwww.databricks.comnsdb.io
Technical documentationdocs.pinot.apache.orgdocs.databricks.comnsdb.io/­Architecture
DeveloperApache Software Foundation and contributorsDatabricks
Initial release201520132017
Current release1.0.0, September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, Scala
Server operating systemsAll OS with a Java JDK11 or higherhostedLinux
macOS
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyes: int, bigint, decimal, string
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.yesno
Secondary indexesyesall fields are automatically indexed
SQL infoSupport of SQLSQL-like query languagewith Databricks SQLSQL-like query language
APIs and other access methodsJDBCJDBC
ODBC
RESTful HTTP API
gRPC
HTTP REST
WebSocket
Supported programming languagesGo
Java
Python
Python
R
Scala
Java
Scala
Server-side scripts infoStored proceduresuser defined functions and aggregatesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesUsing Apache Lucene
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
More information provided by the system vendor
Apache PinotDatabricksNSDb
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Apache PinotDatabricksNSDb
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12 June 2024, TechCrunch

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13 June 2024, CNBC

Databricks open-sources Unity Catalog, challenging Snowflake on interoperability for data workloads
12 June 2024, VentureBeat

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