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

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

Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparisonLevelDB  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.Embeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesCloud-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 storeRelational 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
Score2.25
Rank#115  Overall
#19  Key-value stores
Score130.36
Rank#8  Overall
#5  Relational DBMS
Score0.07
Rank#372  Overall
#57  Key-value stores
Websitepinot.apache.orgfauna.comgithub.com/­google/­leveldbwww.snowflake.comdbmx.net/­tkrzw
Technical documentationdocs.pinot.apache.orgdocs.fauna.comgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddocs.snowflake.net/­manuals/­index.html
DeveloperApache Software Foundation and contributorsFauna, Inc.GoogleSnowflake Computing Inc.Mikio Hirabayashi
Initial release20152014201120142020
Current release1.0.0, September 20231.23, February 20210.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoBSDcommercialOpen 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++C++
Server operating systemsAll OS with a Java JDK11 or higherhostedIllumos
Linux
OS X
Windows
hostedLinux
macOS
Data schemeyesschema-freeschema-freeyes infosupport of semi-structured data formats (JSON, XML, Avro)schema-free
Typing infopredefined data types such as float or dateyesnonoyesno
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 indexesyesno
SQL infoSupport of SQLSQL-like query languagenonoyesno
APIs and other access methodsJDBCRESTful HTTP APICLI Client
JDBC
ODBC
Supported programming languagesGo
Java
Python
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
JavaScript (Node.js)
Python
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsnouser defined functionsno
Triggersnonono infosimilar concept for controling cloud resourcesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioning infoconsistent hashingnoneyesnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnoneyesnone
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 integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infousing specific database classes
User concepts infoAccess controlIdentity management, authentication, and access controlnoUsers with fine-grained authorization concept, user roles and pluggable authenticationno

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