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 > EXASOL vs. GreptimeDB vs. PieCloudDB vs. RRDtool

System Properties Comparison EXASOL vs. GreptimeDB vs. PieCloudDB vs. RRDtool

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonGreptimeDB  Xexclude from comparisonPieCloudDB  Xexclude from comparisonRRDtool  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.An open source Time Series DBMS built for increased scalability, high performance and efficiencyA cloud-native analytic database platform with new technologoy for elastic MPPIndustry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.
Primary database modelRelational DBMSTime Series DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.76
Rank#139  Overall
#62  Relational DBMS
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score0.32
Rank#289  Overall
#133  Relational DBMS
Score1.90
Rank#132  Overall
#11  Time Series DBMS
Websitewww.exasol.comgreptime.comwww.openpie.comoss.oetiker.ch/­rrdtool
Technical documentationwww.exasol.com/­resourcesdocs.greptime.comoss.oetiker.ch/­rrdtool/­doc
DeveloperExasolGreptime Inc.OpenPieTobias Oetiker
Initial release200020221999
Current release2.1, January 20231.8.0, 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen Source infoGPL V2 and FLOSS
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustC infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systemsAndroid
Docker
FreeBSD
Linux
macOS
Windows
hostedHP-UX
Linux
Data schemeyesschema-free, schema definition possibleyesyes
Typing infopredefined data types such as float or dateyesyesyesNumeric data only
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 infoExporting into and restoring from XML files possible
Secondary indexesyesyesyesno
SQL infoSupport of SQLyesyesyesno
APIs and other access methods.Net
JDBC
ODBC
WebSocket
gRPC
HTTP API
JDBC
CLI Client
JDBC
ODBC
in-process shared library
Pipes
Supported programming languagesJava
Lua
Python
R
C++
Erlang
Go
Java
JavaScript
Java
PL/SQL
Python
R
C infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsPythonuser defined functionsno
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyesnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoby using the rrdcached daemon
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardSimple rights management via user accountsUser Roles and pluggable authentication with full SQL Standardno
More information provided by the system vendor
EXASOLGreptimeDBPieCloudDBRRDtool
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
PieCloudDB, OpenPie's flagship product, is a cutting-edge cloud-native data warehouse....
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
Extreme Elastic: PieCloudDB utilizes a cutting-edge eMPP cloud-native architecture...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
PieCloudDB is ideal for Data mining applications that require extreme scalability...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Sail-Cloud China Shipbuilding Group Haizhou System Soochow Securities ​etc.,
» 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
PieCloudDB Community Edition: Community License, Free Download, Self-Hosted Deployment;...
» 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
EXASOLGreptimeDBPieCloudDBRRDtool
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

It's Back to the Database Future for Exasol CEO Tewes
26 October 2023, Datanami

Exasol Finds AI Underinvestment Leads to Business Failure, But Data Challenges Stall Rapid Adoption
14 May 2024, insideBIGDATA

Mathias Golombek, Chief Technology Officer of Exasol – Interview Series
21 May 2024, Unite.AI

Exasol gets jolt of AI with Espresso suite of capabilities
26 February 2024, TechTarget

Exasol Unveils New Suite of AI Tools to Turbocharge Enterprise Data Analytics
21 February 2024, Business Wire

provided by Google News

SQLi vulnerability in Cacti could lead to RCE (CVE-2023-51448)
9 January 2024, Help Net Security

Critical IP spoofing bug patched in Cacti
15 December 2022, The Daily Swig

How to install Cacti SNMP Monitor on Ubuntu
24 November 2017, TechRepublic

The 16 Best Open Source Network Monitoring Tools in 2023
21 October 2022, Solutions Review

Graph Your Network with Cacti
1 January 2009, Open Source For You

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

Neo4j logo

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

Milvus logo

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

Present your product here