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DBMS > FaunaDB vs. Microsoft Azure Cosmos DB vs. Oracle Berkeley DB vs. Redis vs. STSdb

System Properties Comparison FaunaDB vs. Microsoft Azure Cosmos DB vs. Oracle Berkeley DB vs. Redis vs. STSdb

Editorial information provided by DB-Engines
NameFaunaDB  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonRedis  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionFaunaDB 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.Globally distributed, horizontally scalable, multi-model database serviceWidely used in-process key-value storeIn-memory data structure store, used as database, cache and message broker infoRedis focuses on performance so most of its design decisions prioritize high performance and very low latencies.Key-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Document store
Graph DBMS
Key-value store
Wide column store
Key-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Key-value store infoMultiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistenceKey-value store
Secondary database modelsDocument store infowith Redis Modules
Graph DBMS infowith Redis Modules
Search engine infowith Redis Modules
Time Series DBMS infowith Redis Modules
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.01
Rank#126  Overall
#21  Document stores
#9  Graph DBMS
#64  Relational DBMS
#9  Time Series DBMS
Score33.54
Rank#25  Overall
#3  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score3.77
Rank#87  Overall
#14  Key-value stores
#2  Native XML DBMS
Score153.63
Rank#7  Overall
#1  Key-value stores
Score0.12
Rank#296  Overall
#48  Key-value stores
Websitefauna.comazure.microsoft.com/­services/­cosmos-dbwww.oracle.com/­technetwork/­database/­database-technologies/­berkeleydb/­overview/­index.htmlredis.iogithub.com/­STSSoft/­STSdb4
Technical documentationdocs.fauna.comdocs.microsoft.com/­azure/­cosmos-dbdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlredis.io/­documentation
DeveloperFauna, Inc.MicrosoftOracle infooriginally developed by Sleepycat, which was acquired by OracleSalvatore Sanfilippo infoDevelopment sponsored by Redis LabsSTS Soft SC
Initial release20142014199420092011
Current release18.1 (Core), June 20186.0.9, October 20204.0.8, September 2015
License infoCommercial or Open SourcecommercialcommercialOpen Source infocommercial license availableOpen Source infoBSD 3-Clause, commercial license availableOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ScaleGrid for Redis: Fully managed hosting for Redis on AWS, Azure and DigitalOcean with high availability and SSH access on the #1 multi-cloud DBaaS.
Implementation languageScalaC, Java, C++ (depending on the Berkeley DB edition)CC#
Server operating systemshostedhostedAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
BSD
Linux
OS X
Windows infoported and maintained by Microsoft Open Technologies, Inc.
Windows
Data schemeschema-freeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenoyes infoJSON typesnopartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyes infoprimitive types and user defined types (classes)
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.noyes infoonly with the Berkeley DB XML editionno
Secondary indexesyesyes infoAll properties auto-indexed by defaultyesyes infowith RediSearch moduleno
SQL infoSupport of SQLnoSQL-like query languageyes infoSQL interfaced based on SQLite is availablenono
APIs and other access methodsRESTful HTTP APIDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
proprietary protocol infoRESP - REdis Serialization Protocol.NET Client API
Supported programming languagesC#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
C#
Java
Server-side scripts infoStored proceduresuser defined functionsJavaScriptnoLuano
TriggersnoJavaScriptyes infoonly for the SQL APInono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoconsistent hashingSharding infoImplicit feature of the cloud servicenoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes infoImplicit feature of the cloud serviceSource-replica replicationMulti-source replication infowith Redis Enterprise Pack
Source-replica replication infoChained replication is supported
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Eventual Consistency
Strong eventual consistency with CRDTs
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDMulti-item ACID transactions with snapshot isolation within a partitionACIDOptimistic locking, atomic execution of commands blocks and scriptsno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoData access is serialized by the serveryes
Durability infoSupport for making data persistentyesyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlIdentity management, authentication, and access controlAccess rights can be defined down to the item levelnoSimple password-based access control infoAccess control lists and SSL are available in the commercial versionno
More information provided by the system vendor
FaunaDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBOracle Berkeley DBRedisSTSdb
Specific characteristicsFlexible query model that combines GraphQL with custom business logic Effortlessly...
» more
Competitive advantagesNative GraphQL support with automatic mutations for easy on-ramp Native GraphQL,...
» more
Typical application scenariosJavascript apps Serverless backends for microservices Cloud-native apps B2B and B2C...
» more
Key customersShiftX
» more
Licensing and pricing modelsUsage-based pricing including a free tier
» 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
FaunaDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBOracle Berkeley DBRedisSTSdb
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