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DBMS > GreptimeDB vs. Neo4j vs. OushuDB vs. Sphinx

System Properties Comparison GreptimeDB vs. Neo4j vs. OushuDB vs. Sphinx

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Editorial information provided by DB-Engines
NameGreptimeDB  Xexclude from comparisonNeo4j  Xexclude from comparisonOushuDB  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionAn open source Time Series DBMS built for increased scalability, high performance and efficiencyScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsA data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learningOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelTime Series DBMSGraph DBMSRelational DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#352  Overall
#33  Time Series DBMS
Score44.46
Rank#23  Overall
#1  Graph DBMS
Score0.04
Rank#363  Overall
#154  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitegreptime.comneo4j.comwww.oushu.com/­product/­oushuDBsphinxsearch.com
Technical documentationdocs.greptime.comneo4j.com/­docswww.oushu.com/­documentationsphinxsearch.com/­docs
DeveloperGreptime Inc.Neo4j, Inc.OushuSphinx Technologies Inc.
Initial release202220072001
Current release5.20, May 20244.0.1, August 20203.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGPL version3, commercial licenses availablecommercialOpen Source infoGPL version 2, commercial licence available
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.
Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers.
Implementation languageRustJava, ScalaC++
Server operating systemsAndroid
Docker
FreeBSD
Linux
macOS
Windows
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
LinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-free, schema definition possibleschema-free and schema-optionalyesyes
Typing infopredefined data types such as float or dateyesyesyesno
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.no
Secondary indexesyesyes infopluggable indexing subsystem, by default Apache Luceneyesyes infofull-text index on all search fields
SQL infoSupport of SQLyesnoFull-featured ANSI SQL supportSQL-like query language (SphinxQL)
APIs and other access methodsgRPC
HTTP API
JDBC
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
JDBC
ODBC
Proprietary protocol
Supported programming languagesC++
Erlang
Go
Java
JavaScript
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
C
C++
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresPythonyes infoUser defined Procedures and Functionsyesno
Triggersyes infovia event handleryesno
Partitioning methods infoMethods for storing different data on different nodesShardingyes using Neo4j FabricyesSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoHadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Foreign keys infoReferential integrityyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
User concepts infoAccess controlSimple rights management via user accountsUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Kerberos, SSL and role based accessno
More information provided by the system vendor
GreptimeDBNeo4jOushuDBSphinx
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Neo4j delivers graph technology that has been battle tested for performance and scale...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
Neo4j is the market leader, graph database category creator, and the most widely...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Real-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Over 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Neo4j boasts the world's largest graph database ecosystem with more than 140 million...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more
GPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
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