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DBMS > EJDB vs. Fauna vs. GridDB vs. ScyllaDB vs. Warp 10

System Properties Comparison EJDB vs. Fauna vs. GridDB vs. ScyllaDB vs. Warp 10

Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparisonGridDB  Xexclude from comparisonScyllaDB  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Fauna 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.Scalable in-memory time series database optimized for IoT and Big DataCassandra and DynamoDB compatible wide column storeTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelDocument storeDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Time Series DBMSWide column storeTime Series DBMS
Secondary database modelsKey-value store
Relational DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#297  Overall
#44  Document stores
Score1.52
Rank#153  Overall
#26  Document stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Score4.75
Rank#68  Overall
#5  Wide column stores
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websitegithub.com/­Softmotions/­ejdbfauna.comgriddb.netwww.scylladb.comwww.warp10.io
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.fauna.comdocs.griddb.netdocs.scylladb.comwww.warp10.io/­content/­02_Getting_started
DeveloperSoftmotionsFauna, Inc.Toshiba CorporationScyllaDBSenX
Initial release20122014201320152015
Current release5.1, August 2022ScyllaDB Open Source 5.4.1, January 2024
License infoCommercial or Open SourceOpen Source infoGPLv2commercialOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoOpen Source (AGPL), commercial license availableOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageCScalaC++C++Java
Server operating systemsserver-lesshostedLinuxLinuxLinux
OS X
Windows
Data schemeschema-freeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idnoyes infonumerical, string, blob, geometry, boolean, timestampyesyes
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 indexesnoyesyesyes infocluster global secondary indicesno
SQL infoSupport of SQLnonoSQL92, SQL-like TQL (Toshiba Query Language)SQL-like DML and DDL statements (CQL)no
APIs and other access methodsin-process shared libraryRESTful HTTP APIJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
HTTP API
Jupyter
WebSocket
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
Server-side scripts infoStored proceduresnouser defined functionsnoyes, Luayes infoWarpScript
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning infoconsistent hashingShardingShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationSource-replica replicationselectable replication factor infoRepresentation of geographical distribution of servers is possibleselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency within container, eventual consistency across containersEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Immediate Consistency infobased on HBase
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possibleyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID at container levelno infoAtomicity and isolation are supported for single operationsno
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoin-memory tablesyes
User concepts infoAccess controlnoIdentity management, authentication, and access controlAccess rights for users can be defined per databaseAccess rights for users can be defined per objectMandatory use of cryptographic tokens, containing fine-grained authorizations
More information provided by the system vendor
EJDBFauna infopreviously named FaunaDBGridDBScyllaDBWarp 10
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
ScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Highly-performant (efficiently utilizes full resources of a node and network; millions...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
ScyllaDB is ideal for applications that require high throughput and low latency at...
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Discord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» more
Market metricsGitHub trending repository
» more
ScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more
ScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» 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
EJDBFauna infopreviously named FaunaDBGridDBScyllaDBWarp 10
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