DB-EnginesextremeDB - Data management wherever you need itEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by Redgate Software

DBMS > Amazon Redshift vs. etcd vs. Hawkular Metrics vs. TypeDB

System Properties Comparison Amazon Redshift vs. etcd vs. Hawkular Metrics vs. TypeDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonetcd  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsA distributed reliable key-value storeHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.TypeDB provides developers with an expressive, customizable type system to manage their data using an award-winning query language, TypeQL, while building on a high-performance, distributed architecture.
Primary database modelRelational DBMSKey-value storeTime Series DBMSGraph DBMS infoThe type-theoretic data model of TypeDB subsumes the graph database model.
Object oriented DBMS infoThe data model of TypeDB comprises object-oriented features such as class inheritance and interfaces.
Relational DBMS infoThe type-theoretic data model of TypeDB subsumes the relational database model.
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score15.25
Rank#38  Overall
#23  Relational DBMS
Score7.05
Rank#53  Overall
#5  Key-value stores
Score0.01
Rank#377  Overall
#39  Time Series DBMS
Score0.65
Rank#230  Overall
#20  Graph DBMS
#9  Object oriented DBMS
#107  Relational DBMS
Websiteaws.amazon.com/­redshiftetcd.io
github.com/­etcd-io/­etcd
www.hawkular.orgtypedb.com
Technical documentationdocs.aws.amazon.com/­redshiftetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.hawkular.org/­hawkular-metrics/­docs/­user-guidetypedb.com/­docs
DeveloperAmazon (based on PostgreSQL)Community supported by Red HatVaticle
Initial release201220142016
Current release3.4, August 20192.28.3, June 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoGPL Version 3, commercial licenses available
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 languageCGoJavaJava
Server operating systemshostedFreeBSD
Linux
Windows infoexperimental
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyesyes
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.nononono
Secondary indexesrestrictednonoyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardnonono
APIs and other access methodsJDBC
ODBC
gRPC
JSON over HTTP
HTTP RESTgRPC protocol
TypeDB Console (shell)
TypeDB Studio (IDE)
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
Go
Java
Python
Ruby
All JVM based languages
C
C++
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresuser defined functions infoin Pythonnonono
Triggersnoyes, watching key changesyes infovia Hawkular Alertingno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on Cassandrano
Replication methods infoMethods for redundantly storing data on multiple nodesyesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.selectable replication factor infobased on CassandraSynchronous replication via raft
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnonono infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
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.yesnonono
User concepts infoAccess controlfine grained access rights according to SQL-standardnonoyes infoat REST API level; other APIs in progress
More information provided by the system vendor
Amazon RedshiftetcdHawkular MetricsTypeDB infoformerly named Grakn
Specific characteristicsTypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantagesTypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosLife sciences : TypeDB makes working with biological data much easier and accelerates...
» more
Licensing and pricing modelsApache f or language drivers, and AGPL and Commercial for the database server. The...
» 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
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 RedshiftetcdHawkular MetricsTypeDB infoformerly named Grakn
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

Recent citations in the news

AWS Weekly Roundup: Amazon EC2 X8g Instances, Amazon Q generative SQL for Amazon Redshift, AWS SDK for Swift, and more (Sep 23, 2024) | Amazon Web Services
23 September 2024, AWS Blog

Amazon Redshift Serverless is now available in the AWS Asia Pacific (Hong Kong) and Israel (Tel Aviv) Regions
12 September 2024, AWS Blog

Amazon Redshift Serverless now supports AWS PrivateLink
30 August 2024, AWS Blog

Amazon RDS for MySQL zero-ETL integration with Amazon Redshift, now generally available, enables near real-time analytics | Amazon Web Services
12 September 2024, AWS Blog

Amazon Redshift now supports enhanced VPC routing warehouses in zero-ETL integration
16 September 2024, AWS Blog

provided by Google News

ETCD guidelines: RBI seeks to balance rupee stability, competitiveness | Policy Circle
8 April 2024, Policy Circle

Public preview: AKS cluster control plane metrics in managed Prometheus
12 February 2024, azure.microsoft.com

Is Your etcd an Open Door for Cyber Attacks? How to Secure Your Kubernetes Clusters & Nodes
8 November 2023, Information Security Newspaper

Monitor Amazon EKS Control Plane metrics using AWS Open Source monitoring services
12 October 2023, AWS Blog

6 Cool Kubernetes Operators and How to Use Them
22 January 2024, hackernoon.com

provided by Google News

Waiting for Red Hat OpenShift 4.0? Too late, 4.1 has already arrived…
5 June 2019, DevClass

provided by Google News

Modelling Biomedical Data for a Drug Discovery Knowledge Graph
6 October 2020, Towards Data Science

Speedb Goes Open Source With Its Speedb Data Engine, A Drop-in Replacement for RocksDB
9 November 2022, Business Wire

Building a Biomedical Knowledge Graph
28 June 2021, Towards Data Science

Bayer’s Approach to Modelling and Loading Data at Scale | by Daniel Crowe
16 August 2021, Towards Data Science

Comparing Grakn to Semantic Web Technologies — Part 2/3
26 June 2020, Towards Data Science

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.

SingleStore logo

The data platform to build your intelligent applications.
Try it 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

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