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DBMS > Elasticsearch vs. GreptimeDB vs. Sphinx vs. TigerGraph

System Properties Comparison Elasticsearch vs. GreptimeDB vs. Sphinx vs. TigerGraph

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonGreptimeDB  Xexclude from comparisonSphinx  Xexclude from comparisonTigerGraph  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 metricAn open source Time Series DBMS built for increased scalability, high performance and efficiencyOpen source search engine for searching in data from different sources, e.g. relational databasesA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelSearch engineTime Series DBMSSearch engineGraph DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score128.79
Rank#8  Overall
#1  Search engines
Score0.09
Rank#343  Overall
#31  Time Series DBMS
Score5.97
Rank#56  Overall
#5  Search engines
Score1.44
Rank#152  Overall
#14  Graph DBMS
Websitewww.elastic.co/­elasticsearchgreptime.comsphinxsearch.comwww.tigergraph.com
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.greptime.comsphinxsearch.com/­docsdocs.tigergraph.com
DeveloperElasticGreptime Inc.Sphinx Technologies Inc.
Initial release2010202220012017
Current release8.6, January 20233.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoElastic LicenseOpen Source infoApache Version 2.0Open Source infoGPL version 2, commercial licence availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaRustC++C++
Server operating systemsAll OS with a Java VMAndroid
Docker
FreeBSD
Linux
macOS
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-free, schema definition possibleyesyes
Typing infopredefined data types such as float or dateyesyesnoyes
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 indexedyesyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like query languageyesSQL-like query language (SphinxQL)SQL-like query language (GSQL)
APIs and other access methodsJava API
RESTful HTTP/JSON API
gRPC
HTTP API
JDBC
Proprietary protocolGSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C++
Erlang
Go
Java
JavaScript
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C++
Java
Server-side scripts infoStored proceduresyesPythonnoyes
Triggersyes infoby using the 'percolation' featurenono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornonoyes
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 Consistency
Foreign keys infoReferential integritynonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationno
User concepts infoAccess controlSimple rights management via user accountsnoRole-based access control
More information provided by the system vendor
ElasticsearchGreptimeDBSphinxTigerGraph
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more

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More resources
ElasticsearchGreptimeDBSphinxTigerGraph
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