DB-EnginesextremeDB - solve IoT connectivity disruptionsEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by Redgate Software

DBMS > GreptimeDB vs. InfluxDB vs. Sphinx vs. SurrealDB

System Properties Comparison GreptimeDB vs. InfluxDB vs. Sphinx vs. SurrealDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameGreptimeDB  Xexclude from comparisonInfluxDB  Xexclude from comparisonSphinx  Xexclude from comparisonSurrealDB  Xexclude from comparison
DescriptionAn open source Time Series DBMS built for increased scalability, high performance and efficiencyDBMS for storing time series, events and metricsOpen source search engine for searching in data from different sources, e.g. relational databasesA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelTime Series DBMSTime Series DBMSSearch engineDocument store
Graph DBMS
Secondary database modelsSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#343  Overall
#31  Time Series DBMS
Score22.12
Rank#28  Overall
#1  Time Series DBMS
Score5.97
Rank#56  Overall
#5  Search engines
Score1.11
Rank#174  Overall
#30  Document stores
#17  Graph DBMS
Websitegreptime.comwww.influxdata.com/­products/­influxdb-overviewsphinxsearch.comsurrealdb.com
Technical documentationdocs.greptime.comdocs.influxdata.com/­influxdbsphinxsearch.com/­docssurrealdb.com/­docs
DeveloperGreptime Inc.Sphinx Technologies Inc.SurrealDB Ltd
Initial release2022201320012022
Current release2.7.6, April 20243.5.1, February 2023v1.5.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoMIT-License; commercial enterprise version availableOpen Source infoGPL version 2, commercial licence availableOpen Source
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 languageRustGoC++Rust
Server operating systemsAndroid
Docker
FreeBSD
Linux
macOS
Windows
Linux
OS X infothrough Homebrew
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
macOS
Windows
Data schemeschema-free, schema definition possibleschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesNumeric data and Stringsnoyes
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.nono
Secondary indexesyesnoyes infofull-text index on all search fields
SQL infoSupport of SQLyesSQL-like query languageSQL-like query language (SphinxQL)SQL-like query language
APIs and other access methodsgRPC
HTTP API
JDBC
HTTP API
JSON over UDP
Proprietary protocolGraphQL
RESTful HTTP API
WebSocket
Supported programming languagesC++
Erlang
Go
Java
JavaScript
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresPythonnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoin enterprise version onlySharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynono
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.yes infoDepending on used storage engine
User concepts infoAccess controlSimple rights management via user accountssimple rights management via user accountsnoyes, based on authentication and database rules
More information provided by the system vendor
GreptimeDBInfluxDBSphinxSurrealDB
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
InfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
Time to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
IoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
InfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Fastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more
Open source core with closed source clustering available either on-premise or on...
» more
News

Real-Time Visualization for IIoT Data
24 September 2024

Deploying InfluxDB and Telegraf to Monitor Kubernetes
17 September 2024

Telegraf 1.32 Release Notes
13 September 2024

An Introductory Guide to Cloud Security for IIoT
12 September 2024

Building Real-Time Android Apps with InfluxDB Cloud: Data Logging, Querying, and Visualization
10 September 2024

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
GreptimeDBInfluxDBSphinxSurrealDB
DB-Engines blog posts

Why Build a Time Series Data Platform?
20 July 2017, Paul Dix (guest author)

Time Series DBMS are the database category with the fastest increase in popularity
4 July 2016, Matthias Gelbmann

Time Series DBMS as a new trend?
1 June 2015, Paul Andlinger

show all

The DB-Engines ranking includes now search engines
4 February 2013, Paul Andlinger

show all

Recent citations in the news

Run and manage open source InfluxDB databases with Amazon Timestream
14 March 2024, AWS Blog

InfluxData avoids ’AI magic beans’ in InfluxDB time series database update for enterprises
4 September 2024, VentureBeat

InfluxData makes performance, storage improvements to InfluxDB 3.0
4 September 2024, InfoWorld

InfluxData's Latest Updates Optimize Time Series Data for Better Performance, Scale and Management
19 September 2024, Integration Developers

InfluxData Brings Higher Performance and New Features to InfluxDB 3.0 to Power Massive Time Series Workloads at Scale
4 September 2024, businesswire.com

provided by Google News

Switching From Sphinx to MkDocs Documentation — What Did I Gain and Lose?
2 February 2024, Towards Data Science

Manticore is a Faster Alternative to Elasticsearch in C++
25 July 2022, hackernoon.com

Beyond the Concert Hall: 5 Organizations Making a Difference in Classical Music in 2018
22 December 2018, WQXR Radio

Here’s Why Russia Is Cracking Down on Google
23 February 2015, TIME

The Pirate Bay was recently down for over a week due to a DDoS attack
29 October 2019, The Hacker News

provided by Google News

SurrealDB Delivers Future-Ready Database Technology for Developers and Enterprises with Release of SurrealDB 2.0
17 September 2024, Business Wire

SurrealDB is helping developers consolidate their databases
18 June 2024, TechCrunch

Multi-model database startup SurrealDB raises $20M and announces cloud beta access
18 June 2024, SiliconANGLE News

SurrealDB Raises $20M To Disrupt Big Data Industry
20 June 2024, Datanami

SurrealDB Raises $20 Million to Disrupt Database Tech; Introduces New Cloud Beta Access
18 June 2024, PR Newswire

provided by Google News



Share this page

Featured Products

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

SingleStore logo

The data platform to build your intelligent applications.
Try it free.

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Present your product here