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DBMS > Elasticsearch vs. QuestDB vs. Sadas Engine

System Properties Comparison Elasticsearch vs. QuestDB vs. Sadas Engine

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonQuestDB  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionA 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 metricA high performance open source SQL database for time series dataSADAS Engine is a columnar DBMS specifically designed for high performance in Data warehouse environments
Primary database modelSearch engineTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score157.72
Rank#8  Overall
#1  Search engines
Score1.11
Rank#165  Overall
#11  Time Series DBMS
Score0.01
Rank#351  Overall
#146  Relational DBMS
Websitewww.elastic.co/­elasticsearchquestdb.iowww.sadasengine.com
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlquestdb.io/­docs/­introductionwww.sadasengine.com/­index.php/­downloads/­documentation-columnar-db
DeveloperElasticQuestDB LimitedSADAS s.r.l.
Initial release201020142006
Current release7.8.0, June 20208.0
License infoCommercial or Open SourceOpen Source infoApache Version 2; Elastic LicenseOpen Source infoApache 2.0commercial infofree trial version available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC++
Server operating systemsAll OS with a Java VMLinux
macOS
Windows
AIX
Linux
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyes infoschema-free via InfluxDB Line Protocolyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyes infoAll search fields are automatically indexednoyes
SQL infoSupport of SQLSQL-like query languageSQL-like query languageyes
APIs and other access methodsJava API
RESTful HTTP/JSON API
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
JDBC
ODBC
Proprietary protocol
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresyesnono
Triggersyes infoby using the 'percolation' featurenono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by timestamps)horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesConfigurable consistency for N replicasnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationyes infothrough memory mapped filesyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
ElasticsearchQuestDBSadas Engine
Specific characteristicsRelational model with native time series support Column based storage and time partitioned...
» more
Competitive advantagesReal-time data ingestion and istant SQL queries for time series High performance...
» more
Typical application scenariosApplication metrics Financial market data and algo trading DevOps monitoring Real-time...
» more
Licensing and pricing modelsApache 2.0.
» more
News

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9 November 2021

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3 November 2021

Demo geospatial and timeseries queries on 250k unique devices
4 October 2021

Join Hacktoberfest 2021 and contribute to QuestDB!
1 October 2021

High frequency finance with Julia and QuestDB
17 September 2021

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More resources
ElasticsearchQuestDBSadas Engine
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