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DBMS > Databricks vs. Ehcache vs. Fauna vs. QuestDB vs. searchxml

System Properties Comparison Databricks vs. Ehcache vs. Fauna vs. QuestDB vs. searchxml

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonEhcache  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparisonQuestDB  Xexclude from comparisonsearchxml  Xexclude from comparison
DescriptionThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.A 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.A high performance open source SQL database for time series dataDBMS for structured and unstructured content wrapped with an application server
Primary database modelDocument store
Relational DBMS
Key-value storeDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Time Series DBMSNative XML DBMS
Search engine
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
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
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Score0.03
Rank#390  Overall
#7  Native XML DBMS
#24  Search engines
Websitewww.databricks.comwww.ehcache.orgfauna.comquestdb.iowww.searchxml.net/­category/­products
Technical documentationdocs.databricks.comwww.ehcache.org/­documentationdocs.fauna.comquestdb.io/­docswww.searchxml.net/­support/­handouts
DeveloperDatabricksTerracotta Inc, owned by Software AGFauna, Inc.QuestDB Technology Incinformationpartners gmbh
Initial release20132009201420142015
Current release3.10.0, March 20221.0
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
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 systemshostedAll OS with a Java VMhostedLinux
macOS
Windows
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-freeyes infoschema-free via InfluxDB Line Protocolschema-free
Typing infopredefined data types such as float or dateyesnoyesyes
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.yesnononoyes
Secondary indexesyesnoyesnoyes
SQL infoSupport of SQLwith Databricks SQLnonoSQL with time-series extensionsno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JCacheRESTful HTTP APIHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesPython
R
Scala
JavaC#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
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 proceduresuser defined functions and aggregatesnouser defined functionsnoyes infoon the application server
Triggersyes infoCache Event Listenersnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta Serverhorizontal partitioning infoconsistent hashinghorizontal partitioning (by timestamps)none
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoby using Terracotta ServerMulti-source replicationSource-replica replication with eventual consistencyyes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infosupports JTA and can work as an XA resourceACIDACID for single-table writesmultiple readers, single writer
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infousing a tiered cache-storage approachyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes infothrough memory mapped filesno
User concepts infoAccess controlnoIdentity management, authentication, and access controlDomain, group and role-based access control at the document level and for application services
More information provided by the system vendor
DatabricksEhcacheFauna infopreviously named FaunaDBQuestDBsearchxml
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
» more
Relational 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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