DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Graphite vs. GreptimeDB vs. InterSystems Caché vs. Newts vs. Postgres-XL

System Properties Comparison Graphite vs. GreptimeDB vs. InterSystems Caché vs. Newts vs. Postgres-XL

Editorial information provided by DB-Engines
NameGraphite  Xexclude from comparisonGreptimeDB  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonNewts  Xexclude from comparisonPostgres-XL  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperAn open source Time Series DBMS built for increased scalability, high performance and efficiencyA multi-model DBMS and application serverTime Series DBMS based on CassandraBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelTime Series DBMSTime Series DBMSKey-value store
Object oriented DBMS
Relational DBMS
Time Series DBMSRelational DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.57
Rank#73  Overall
#5  Time Series DBMS
Score0.06
Rank#352  Overall
#33  Time Series DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Websitegithub.com/­graphite-project/­graphite-webgreptime.comwww.intersystems.com/­products/­cacheopennms.github.io/­newtswww.postgres-xl.org
Technical documentationgraphite.readthedocs.iodocs.greptime.comdocs.intersystems.comgithub.com/­OpenNMS/­newts/­wikiwww.postgres-xl.org/­documentation
DeveloperChris DavisGreptime Inc.InterSystemsOpenNMS Group
Initial release20062022199720142014 infosince 2012, originally named StormDB
Current release2018.1.4, May 202010 R1, October 2018
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0commercialOpen Source infoApache 2.0Open Source infoMozilla public license
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 languagePythonRustJavaC
Server operating systemsLinux
Unix
Android
Docker
FreeBSD
Linux
macOS
Windows
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Linux
macOS
Data schemeyesschema-free, schema definition possibledepending on used data modelschema-freeyes
Typing infopredefined data types such as float or dateNumeric data onlyyesyesyesyes
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.nonoyesnoyes infoXML type, but no XML query functionality
Secondary indexesnoyesyesnoyes
SQL infoSupport of SQLnoyesyesnoyes infodistributed, parallel query execution
APIs and other access methodsHTTP API
Sockets
gRPC
HTTP API
JDBC
.NET Client API
JDBC
ODBC
RESTful HTTP API
HTTP REST
Java API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesJavaScript (Node.js)
Python
C++
Erlang
Go
Java
JavaScript
C#
C++
Java
Java.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnoPythonyesnouser defined functions
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneSharding infobased on Cassandrahorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayes infolockingyesyesyesyes
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.yesnono
User concepts infoAccess controlnoSimple rights management via user accountsAccess rights for users, groups and rolesnofine grained access rights according to SQL-standard
More information provided by the system vendor
GraphiteGreptimeDBInterSystems CachéNewtsPostgres-XL
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

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
GraphiteGreptimeDBInterSystems CachéNewtsPostgres-XL
DB-Engines blog posts

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

Recent citations in the news

Try out the Graphite monitoring tool for time-series data
29 October 2019, TechTarget

Grafana Labs Announces Mimir Time Series Database
1 April 2022, Datanami

The Billion Data Point Challenge: Building a Query Engine for High Cardinality Time Series Data
10 December 2018, Uber

Getting Started with Monitoring using Graphite
23 January 2015, InfoQ.com

The value of time series data and TSDBs
10 June 2021, InfoWorld

provided by Google News

Defense Health Agency Awards Four Points Technology $39 Million for Intersystems Software Licenses and Maintenance
21 September 2023, ClearanceJobs

AWS, GCP, Oracle, Azure, SAP Lead Cloud DBMS Market: Gartner
12 February 2022, CRN

Announcing IBM Spectrum Sentinel: Building a Cyber Resilient Future
24 June 2022, ibm.com

Associative Data Modeling Demystified - Part1 - DataScienceCentral.com
9 July 2016, Data Science Central

Nearly three years on from Cambridge's Epic go-live
23 August 2017, Digital Health

provided by Google News



Share this page

Featured Products

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

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

Neo4j logo

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

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

Present your product here