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DBMS > EJDB vs. Fauna vs. Google Cloud Datastore vs. ScyllaDB vs. Vitess

System Properties Comparison EJDB vs. Fauna vs. Google Cloud Datastore vs. ScyllaDB vs. Vitess

Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonScyllaDB  Xexclude from comparisonVitess  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.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformCassandra and DynamoDB compatible wide column storeScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelDocument storeDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Document storeWide column storeRelational DBMS
Secondary database modelsKey-value storeDocument store
Spatial DBMS
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
Score4.47
Rank#76  Overall
#12  Document stores
Score4.75
Rank#68  Overall
#5  Wide column stores
Score0.82
Rank#209  Overall
#97  Relational DBMS
Websitegithub.com/­Softmotions/­ejdbfauna.comcloud.google.com/­datastorewww.scylladb.comvitess.io
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.fauna.comcloud.google.com/­datastore/­docsdocs.scylladb.comvitess.io/­docs
DeveloperSoftmotionsFauna, Inc.GoogleScyllaDBThe Linux Foundation, PlanetScale
Initial release20122014200820152013
Current releaseScyllaDB Open Source 5.4.1, January 202415.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoGPLv2commercialcommercialOpen Source infoOpen Source (AGPL), commercial license availableOpen Source infoApache Version 2.0, commercial licenses 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.
Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageCScalaC++Go
Server operating systemsserver-lesshostedhostedLinuxDocker
Linux
macOS
Data schemeschema-freeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idnoyes, details hereyesyes
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.nonono
Secondary indexesnoyesyesyes infocluster global secondary indicesyes
SQL infoSupport of SQLnonoSQL-like query language (GQL)SQL-like DML and DDL statements (CQL)yes infowith proprietary extensions
APIs and other access methodsin-process shared libraryRESTful HTTP APIgRPC (using protocol buffers) API
RESTful HTTP/JSON API
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
ADO.NET
JDBC
MySQL protocol
ODBC
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
.Net
Go
Java
JavaScript (Node.js)
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
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnouser defined functionsusing Google App Engineyes, Luayes infoproprietary syntax
TriggersnonoCallbacks using the Google Apps Enginenoyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning infoconsistent hashingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationMulti-source replication using Paxosselectable replication factor infoRepresentation of geographical distribution of servers is possibleMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Eventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Eventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possibleyesyes infovia ReferenceProperties or Ancestor pathsnoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsno infoAtomicity and isolation are supported for single operationsACID at shard level
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesyesyesyes infotable locks or row locks depending on storage engine
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.nonoyes infoin-memory tablesyes
User concepts infoAccess controlnoIdentity 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 objectUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
EJDBFauna infopreviously named FaunaDBGoogle Cloud DatastoreScyllaDBVitess
Specific characteristicsScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» more
Competitive advantagesHighly-performant (efficiently utilizes full resources of a node and network; millions...
» more
Typical application scenariosScyllaDB is ideal for applications that require high throughput and low latency at...
» more
Key customersDiscord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» more
Market metricsScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» more
Licensing and pricing modelsScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» more

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More resources
EJDBFauna infopreviously named FaunaDBGoogle Cloud DatastoreScyllaDBVitess
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