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DBMS > Badger vs. Elasticsearch vs. HyperSQL vs. InfluxDB vs. Spark SQL

System Properties Comparison Badger vs. Elasticsearch vs. HyperSQL vs. InfluxDB vs. Spark SQL

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonElasticsearch  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonInfluxDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.A distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBDBMS for storing time series, events and metricsSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelKey-value storeSearch engineRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Spatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score132.83
Rank#7  Overall
#1  Search engines
Score3.23
Rank#93  Overall
#48  Relational DBMS
Score24.39
Rank#28  Overall
#1  Time Series DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerwww.elastic.co/­elasticsearchhsqldb.orgwww.influxdata.com/­products/­influxdb-overviewspark.apache.org/­sql
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlhsqldb.org/­web/­hsqlDocsFrame.htmldocs.influxdata.com/­influxdbspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperDGraph LabsElasticApache Software Foundation
Initial release20172010200120132014
Current release8.6, January 20232.7.2, June 20232.7.6, April 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoElastic LicenseOpen Source infobased on BSD licenseOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaJavaGoScala
Server operating systemsBSD
Linux
OS X
Solaris
Windows
All OS with a Java VMAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesLinux
OS X infothrough Homebrew
Linux
OS X
Windows
Data schemeschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesschema-freeyes
Typing infopredefined data types such as float or datenoyesyesNumeric data and Stringsyes
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.nonononono
Secondary indexesnoyes infoAll search fields are automatically indexedyesnono
SQL infoSupport of SQLnoSQL-like query languageyesSQL-like query languageSQL-like DML and DDL statements
APIs and other access methodsJava API
RESTful HTTP/JSON API
HTTP API infoJDBC via HTTP
JDBC
ODBC
HTTP API
JSON over UDP
JDBC
ODBC
Supported programming languagesGo.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
All languages supporting JDBC/ODBC
Java
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
Java
Python
R
Scala
Server-side scripts infoStored proceduresnoyesJava, SQLnono
Triggersnoyes infoby using the 'percolation' featureyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneSharding infoin enterprise version onlyyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesnoneselectable replication factor infoin enterprise version onlynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectornono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.noMemcached and Redis integrationyesyes infoDepending on used storage engineno
User concepts infoAccess controlnofine grained access rights according to SQL-standardsimple rights management via user accountsno
More information provided by the system vendor
BadgerElasticsearchHyperSQL infoalso known as HSQLDBInfluxDBSpark SQL
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
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