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DBMS > Ehcache vs. Fauna vs. Microsoft Azure Cosmos DB vs. QuestDB vs. searchxml

System Properties Comparison Ehcache vs. Fauna vs. Microsoft Azure Cosmos DB vs. QuestDB vs. searchxml

Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonQuestDB  Xexclude from comparisonsearchxml  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsFauna 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 serviceA high performance open source SQL database for time series dataDBMS for structured and unstructured content wrapped with an application server
Primary database modelKey-value storeDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Document store
Graph DBMS
Key-value store
Wide column store
Time Series DBMSNative XML DBMS
Search engine
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.64
Rank#68  Overall
#8  Key-value stores
Score1.55
Rank#151  Overall
#26  Document stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Score27.71
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Score0.03
Rank#390  Overall
#7  Native XML DBMS
#24  Search engines
Websitewww.ehcache.orgfauna.comazure.microsoft.com/­services/­cosmos-dbquestdb.iowww.searchxml.net/­category/­products
Technical documentationwww.ehcache.org/­documentationdocs.fauna.comlearn.microsoft.com/­azure/­cosmos-dbquestdb.io/­docswww.searchxml.net/­support/­handouts
DeveloperTerracotta Inc, owned by Software AGFauna, Inc.MicrosoftQuestDB Technology Incinformationpartners gmbh
Initial release20092014201420142015
Current release3.10.0, March 20221.0
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialcommercialOpen Source infoApache 2.0commercial
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 languageJavaScalaJava (Zero-GC), C++, RustC++
Server operating systemsAll OS with a Java VMhostedhostedLinux
macOS
Windows
Windows
Data schemeschema-freeschema-freeschema-freeyes infoschema-free via InfluxDB Line Protocolschema-free
Typing infopredefined data types such as float or dateyesnoyes infoJSON typesyesyes
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.nononoyes
Secondary indexesnoyesyes infoAll properties auto-indexed by defaultnoyes
SQL infoSupport of SQLnonoSQL-like query languageSQL with time-series extensionsno
APIs and other access methodsJCacheRESTful HTTP APIDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesJavaC#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresnouser defined functionsJavaScriptnoyes infoon the application server
Triggersyes infoCache Event ListenersnoJavaScriptnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta Serverhorizontal partitioning infoconsistent hashingSharding infoImplicit feature of the cloud servicehorizontal partitioning (by timestamps)none
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServerMulti-source replicationyes infoImplicit feature of the cloud serviceSource-replica replication with eventual consistencyyes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*nono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceACIDMulti-item ACID transactions with snapshot isolation within a partitionACID for single-table writesmultiple readers, single writer
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infothrough memory mapped filesno
User concepts infoAccess controlnoIdentity management, authentication, and access controlAccess rights can be defined down to the item levelDomain, group and role-based access control at the document level and for application services
More information provided by the system vendor
EhcacheFauna infopreviously named FaunaDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBQuestDBsearchxml
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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More resources
EhcacheFauna infopreviously named FaunaDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBQuestDBsearchxml
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