DB-EnginesExtremeDB for everyone with an RTOSEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Amazon DynamoDB vs. GreptimeDB vs. InfluxDB vs. Kinetica

System Properties Comparison Amazon DynamoDB vs. GreptimeDB vs. InfluxDB vs. Kinetica

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonGreptimeDB  Xexclude from comparisonInfluxDB  Xexclude from comparisonKinetica  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudAn open source Time Series DBMS built for increased scalability, high performance and efficiencyDBMS for storing time series, events and metricsFully vectorized database across both GPUs and CPUs
Primary database modelDocument store
Key-value store
Time Series DBMSTime Series DBMSRelational DBMS
Secondary database modelsSpatial DBMS infowith GEO packageSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score74.07
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score0.06
Rank#352  Overall
#33  Time Series DBMS
Score25.83
Rank#28  Overall
#1  Time Series DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Websiteaws.amazon.com/­dynamodbgreptime.comwww.influxdata.com/­products/­influxdb-overviewwww.kinetica.com
Technical documentationdocs.aws.amazon.com/­dynamodbdocs.greptime.comdocs.influxdata.com/­influxdbdocs.kinetica.com
DeveloperAmazonGreptime Inc.Kinetica
Initial release2012202220132012
Current release2.7.6, April 20247.1, August 2021
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoApache Version 2.0Open Source infoMIT-License; commercial enterprise version availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustGoC, C++
Server operating systemshostedAndroid
Docker
FreeBSD
Linux
macOS
Windows
Linux
OS X infothrough Homebrew
Linux
Data schemeschema-freeschema-free, schema definition possibleschema-freeyes
Typing infopredefined data types such as float or dateyesyesNumeric data and Stringsyes
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 indexesyesyesnoyes
SQL infoSupport of SQLnoyesSQL-like query languageSQL-like DML and DDL statements
APIs and other access methodsRESTful HTTP APIgRPC
HTTP API
JDBC
HTTP API
JSON over UDP
JDBC
ODBC
RESTful HTTP API
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
C++
Erlang
Go
Java
JavaScript
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoPythonnouser defined functions
Triggersyes infoby integration with AWS Lambdanoyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoin enterprise version onlySharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infoin enterprise version onlySource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoACID across one or more tables within a single AWS account and regionnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yes infoDepending on used storage engineyes infoGPU vRAM or System RAM
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Simple rights management via user accountssimple rights management via user accountsAccess rights for users and roles on table level
More information provided by the system vendor
Amazon DynamoDBGreptimeDBInfluxDBKinetica
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

Efficiency Unleashed: Streamlining Workflows with the InfluxDB Management API
23 May 2024

What is DevRel at InfluxData
21 May 2024

An Introductory Guide to Grafana Alerts
16 May 2024

What to Expect When You’re Expecting InfluxDB: A Guide
14 May 2024

Introduction to Apache Iceberg
9 May 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
3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
» more

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

More resources
Amazon DynamoDBGreptimeDBInfluxDBKinetica
DB-Engines blog posts

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

The popularity of cloud-based DBMSs has increased tenfold in four years
7 February 2017, Matthias Gelbmann

Increased popularity for consuming DBMS services out of the cloud
2 October 2015, Paul Andlinger

show all

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

Recent citations in the news

Freecharge lowered their identity management system cost and improved scaling by switching to Amazon DynamoDB ...
20 May 2024, AWS Blog

Migrating Uber's Ledger Data from DynamoDB to LedgerStore
11 April 2024, Uber

Zendesk Moves from DynamoDB to MySQL and S3 to Save over 80% in Costs
29 December 2023, InfoQ.com

Using the circuit-breaker pattern with AWS Lambda extensions and Amazon DynamoDB | Amazon Web Services
16 May 2024, AWS Blog

Distributed Transactions at Scale in Amazon DynamoDB
7 November 2023, InfoQ.com

provided by Google News

Introducing Amazon Timestream for InfluxDB: A managed service for the popular open source time-series database ...
20 May 2024, AWS Blog

Amazon Timestream: Managed InfluxDB for Time Series Data
14 March 2024, The New Stack

InfluxData Collaborating with AWS to Bring InfluxDB and Time Series Analytics to Developers Around the World
14 March 2024, Business Wire

How the FDAP Stack Gives InfluxDB 3.0 Real-Time Speed, Efficiency
15 March 2024, Datanami

Amazon Timestream for InfluxDB is now generally available
15 March 2024, AWS Blog

provided by Google News

Kinetica Delivers Real-Time Vector Similarity Search
21 March 2024, insideBIGDATA

Kinetica Elevates RAG with Fast Access to Real-Time Data
26 March 2024, Datanami

Kinetica ramps up RAG for generative AI, empowering enterprises with real-time operational data
18 March 2024, SiliconANGLE News

Kinetica Launches Generative AI Solution for Real-Time Inferencing Powered by NVIDIA AI Enterprise
18 March 2024, GlobeNewswire

Transforming spatiotemporal data analysis with GPUs and generative AI
30 October 2023, InfoWorld

provided by Google News



Share this page

Featured Products

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

SingleStore logo

The database to transact, analyze and contextualize your data in real time.
Try it today.

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

RaimaDB logo

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

Present your product here