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DBMS > Apache Pinot vs. Fauna vs. LeanXcale vs. Snowflake vs. Tkrzw

System Properties Comparison Apache Pinot vs. Fauna vs. LeanXcale vs. Snowflake vs. Tkrzw

Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparisonLeanXcale  Xexclude from comparisonSnowflake  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyFauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesCloud-based data warehousing service for structured and semi-structured dataA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelRelational DBMSDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Key-value store
Relational DBMS
Relational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score1.55
Rank#151  Overall
#26  Document stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Score0.36
Rank#280  Overall
#40  Key-value stores
#129  Relational DBMS
Score130.36
Rank#8  Overall
#5  Relational DBMS
Score0.07
Rank#372  Overall
#57  Key-value stores
Websitepinot.apache.orgfauna.comwww.leanxcale.comwww.snowflake.comdbmx.net/­tkrzw
Technical documentationdocs.pinot.apache.orgdocs.fauna.comdocs.snowflake.net/­manuals/­index.html
DeveloperApache Software Foundation and contributorsFauna, Inc.LeanXcaleSnowflake Computing Inc.Mikio Hirabayashi
Initial release20152014201520142020
Current release1.0.0, September 20230.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScalaC++
Server operating systemsAll OS with a Java JDK11 or higherhostedhostedLinux
macOS
Data schemeyesschema-freeyesyes infosupport of semi-structured data formats (JSON, XML, Avro)schema-free
Typing infopredefined data types such as float or dateyesnoyesno
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.noyesno
Secondary indexesyes
SQL infoSupport of SQLSQL-like query languagenoyes infothrough Apache Derbyyesno
APIs and other access methodsJDBCRESTful HTTP APIJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
CLI Client
JDBC
ODBC
Supported programming languagesGo
Java
Python
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
C
Java
Scala
JavaScript (Node.js)
Python
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsno
Triggersnono infosimilar concept for controling cloud resourcesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioning infoconsistent hashingyesnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes infousing specific database classes
User concepts infoAccess controlIdentity management, authentication, and access controlUsers with fine-grained authorization concept, user roles and pluggable authenticationno

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More resources
Apache PinotFauna infopreviously named FaunaDBLeanXcaleSnowflakeTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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