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DBMS > Apache Pinot vs. Fauna vs. Google Cloud Spanner vs. GridDB vs. Memgraph

System Properties Comparison Apache Pinot vs. Fauna vs. Google Cloud Spanner vs. GridDB vs. Memgraph

Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonGridDB  Xexclude from comparisonMemgraph  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 horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.Scalable in-memory time series database optimized for IoT and Big DataAn open source graph database built for real-time streaming and compatible with Neo4j
Primary database modelRelational DBMSDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Relational DBMSTime Series DBMSGraph DBMS
Secondary database modelsKey-value store
Relational DBMS
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
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score3.19
Rank#94  Overall
#8  Graph DBMS
Websitepinot.apache.orgfauna.comcloud.google.com/­spannergriddb.netmemgraph.com
Technical documentationdocs.pinot.apache.orgdocs.fauna.comcloud.google.com/­spanner/­docsdocs.griddb.netmemgraph.com/­docs
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperApache Software Foundation and contributorsFauna, Inc.GoogleToshiba CorporationMemgraph Ltd
Initial release20152014201720132017
Current release1.0.0, September 20235.1, August 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoBSL 1.1; commercial license for enterprise edition available
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScalaC++C and C++
Server operating systemsAll OS with a Java JDK11 or higherhostedhostedLinuxLinux
Data schemeyesschema-freeyesyesschema-free and schema-optional
Typing infopredefined data types such as float or dateyesnoyesyes infonumerical, string, blob, geometry, boolean, timestampyes
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.nononono
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like query languagenoyes infoQuery statements complying to ANSI 2011SQL92, SQL-like TQL (Toshiba Query Language)no
APIs and other access methodsJDBCRESTful HTTP APIgRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
Bolt protocol
Cypher query language
Supported programming languagesGo
Java
Python
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
Go
Java
JavaScript (Node.js)
Python
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresuser defined functionsnono
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioning infoconsistent hashingShardingShardingSharding infodynamic graph partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replication with 3 replicas for regional instances.Source-replica replicationMulti-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud DataflowConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency within container, eventual consistency across containersImmediate Consistency
Foreign keys infoReferential integrityyesyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoStrict serializable isolationACID at container levelACID infowith snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes infowith periodic snapshot and write-ahead logging (WAL) of changes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlIdentity management, authentication, and access controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users can be defined per databaseUsers, roles and permissions
More information provided by the system vendor
Apache PinotFauna infopreviously named FaunaDBGoogle Cloud SpannerGridDBMemgraph
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Memgraph directly connects to your streaming infrastructure so you and your team...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Business Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Graph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more
You can check out our pricing model and licenses on the company website .
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Apache PinotFauna infopreviously named FaunaDBGoogle Cloud SpannerGridDBMemgraph
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