DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Apache Pinot vs. atoti vs. Kyligence Enterprise vs. NSDb

System Properties Comparison Apache Pinot vs. atoti vs. Kyligence Enterprise vs. NSDb

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonatoti  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonNSDb  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.A distributed analytics engine for big data, built on top of Apache KylinScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes
Primary database modelRelational DBMSObject oriented DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score0.40
Rank#269  Overall
#124  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Websitepinot.apache.orgatoti.iokyligence.io/­kyligence-enterprisensdb.io
Technical documentationdocs.pinot.apache.orgdocs.atoti.ionsdb.io/­Architecture
DeveloperApache Software Foundation and contributorsActiveViamKyligence, Inc.
Initial release201520162017
Current release1.0.0, September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree versions availablecommercialOpen Source infoApache Version 2.0
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 languageJavaJavaJavaJava, Scala
Server operating systemsAll OS with a Java JDK11 or higherLinuxLinux
macOS
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyesyes: 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.nono
Secondary indexesyesall fields are automatically indexed
SQL infoSupport of SQLSQL-like query languageMultidimensional Expressions (MDX)ANSI SQL for queries (using Apache Calcite)SQL-like query language
APIs and other access methodsJDBCJDBC
ODBC
RESTful HTTP API
gRPC
HTTP REST
WebSocket
Supported programming languagesGo
Java
Python
Java
Scala
Server-side scripts infoStored proceduresPythonno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding, horizontal partitioningSharding
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
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 datano
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
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.yesno

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Apache PinotatotiKyligence EnterpriseNSDb
Recent citations in the news

Real-Time Analytics for Mobile App Crashes using Apache Pinot
2 November 2023, Uber

Speed of Apache Pinot at the Cost of Cloud Object Storage with Tiered Storage
16 August 2023, InfoQ.com

StarTree Announces Integration between Apache Pinot and Delta Lake with StarTree Cloud
20 June 2023, Datanami

StarTree brings Apache Pinot real-time database to the cloud
22 March 2022, TechTarget

Data analytics startup StarTree secures cash to expand its Apache Pinot-powered platform
29 August 2022, TechCrunch

provided by Google News

Best use of cloud: ActiveViam
28 November 2023, Risk.net

FRTB product of the year: ActiveViam
28 November 2023, Risk.net

provided by Google News

Kyligence Grows OLAP Business in the Cloud
20 February 2020, Datanami

Kyligence adds ClickHouse OLAP engine to its analytics platform
10 August 2021, VentureBeat

How Kyligence Cloud uses Amazon EMR Serverless to simplify OLAP | Amazon Web Services
9 November 2022, AWS Blog

Distributed OLAPer Kyligence accelerates core engine, adds real-time data support – Blocks and Files
10 August 2021, Blocks and Files

Kyligence Doubles Down on Cubes in the Cloud
22 January 2021, Datanami

provided by Google News



Share this page

Featured Products

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

SingleStore logo

Build AI apps with Vectors on SQL and JSON with milliseconds response times.
Try it today.

Present your product here