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

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

Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonDuckDB  Xexclude from comparisonFauna infopreviously named FaunaDB  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 latencyAn embeddable, in-process, column-oriented SQL OLAP RDBMSFauna 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.Cloud-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 DBMSRelational DBMSDocument store
Graph DBMS
Relational DBMS
Time Series 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
Score4.63
Rank#69  Overall
#37  Relational DBMS
Score1.55
Rank#151  Overall
#26  Document stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Score130.36
Rank#8  Overall
#5  Relational DBMS
Score0.07
Rank#372  Overall
#57  Key-value stores
Websitepinot.apache.orgduckdb.orgfauna.comwww.snowflake.comdbmx.net/­tkrzw
Technical documentationdocs.pinot.apache.orgduckdb.org/­docsdocs.fauna.comdocs.snowflake.net/­manuals/­index.html
DeveloperApache Software Foundation and contributorsFauna, Inc.Snowflake Computing Inc.Mikio Hirabayashi
Initial release20152018201420142020
Current release1.0.0, September 20231.0.0, June 20240.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoMIT LicensecommercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++ScalaC++
Server operating systemsAll OS with a Java JDK11 or higherserver-lesshostedhostedLinux
macOS
Data schemeyesyesschema-freeyes infosupport of semi-structured data formats (JSON, XML, Avro)schema-free
Typing infopredefined data types such as float or dateyesyesnoyesno
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.nonoyesno
Secondary indexesyesyes
SQL infoSupport of SQLSQL-like query languageyesnoyesno
APIs and other access methodsJDBCArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
RESTful HTTP APICLI Client
JDBC
ODBC
Supported programming languagesGo
Java
Python
C
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
JavaScript (Node.js)
Python
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functionsuser defined functionsno
Triggersnonono infosimilar concept for controling cloud resourcesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnonehorizontal partitioning infoconsistent hashingyesnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-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 integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
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.yesnonoyes infousing specific database classes
User concepts infoAccess controlnoIdentity management, authentication, and access controlUsers with fine-grained authorization concept, user roles and pluggable authenticationno

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More resources
Apache PinotDuckDBFauna infopreviously named FaunaDBSnowflakeTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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