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 > Amazon Aurora vs. BigchainDB vs. Hawkular Metrics vs. Prometheus vs. SpaceTime

System Properties Comparison Amazon Aurora vs. BigchainDB vs. Hawkular Metrics vs. Prometheus vs. SpaceTime

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonBigchainDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonPrometheus  Xexclude from comparisonSpaceTime  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Open-source Time Series DBMS and monitoring systemSpaceTime is a spatio-temporal DBMS with a focus on performance.
Primary database modelRelational DBMSDocument storeTime Series DBMSTime Series DBMSSpatial DBMS
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.57
Rank#51  Overall
#32  Relational DBMS
Score0.85
Rank#208  Overall
#35  Document stores
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score0.03
Rank#392  Overall
#8  Spatial DBMS
Websiteaws.amazon.com/­rds/­aurorawww.bigchaindb.comwww.hawkular.orgprometheus.iowww.mireo.com/­spacetime
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlbigchaindb.readthedocs.io/­en/­latestwww.hawkular.org/­hawkular-metrics/­docs/­user-guideprometheus.io/­docs
DeveloperAmazonCommunity supported by Red HatMireo
Initial release20152016201420152020
License infoCommercial or Open SourcecommercialOpen Source infoAGPL v3Open Source infoApache 2.0Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonJavaGoC++
Server operating systemshostedLinuxLinux
OS X
Windows
Linux
Windows
Linux
Data schemeyesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesNumeric data onlyyes
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.yesnonono infoImport of XML data possibleno
Secondary indexesyesnonono
SQL infoSupport of SQLyesnononoA subset of ANSI SQL is implemented
APIs and other access methodsADO.NET
JDBC
ODBC
CLI Client
RESTful HTTP API
HTTP RESTRESTful HTTP/JSON APIRESTful HTTP API
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Go
Haskell
Java
JavaScript
Python
Ruby
Go
Java
Python
Ruby
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
C#
C++
Python
Server-side scripts infoStored proceduresyesnonono
Triggersyesyes infovia Hawkular Alertingnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingSharding infobased on CassandraShardingFixed-grid hypercubes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factorselectable replication factor infobased on Cassandrayes infoby FederationReal-time block device replication (DRBD)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
noneImmediate Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyesyes
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-standardyesnonoyes

More information provided by the system vendor

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
Amazon AuroraBigchainDBHawkular MetricsPrometheusSpaceTime
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

Amazon - the rising star in the DBMS market
3 August 2015, Matthias Gelbmann

show all

Recent citations in the news

Continuously replicate Amazon DynamoDB changes to Amazon Aurora PostgreSQL using AWS Lambda | Amazon ...
14 May 2024, AWS Blog

Join the preview of Amazon Aurora Limitless Database | Amazon Web Services
27 November 2023, AWS Blog

Amazon Aurora MySQL version 2 (with MySQL 5.7 compatibility) to version 3 (with MySQL 8.0 compatibility) upgrade ...
18 March 2024, AWS Blog

Improve the performance of generative AI workloads on Amazon Aurora with Optimized Reads and pgvector | Amazon ...
9 February 2024, AWS Blog

How LeadSquared accelerated chatbot deployments with generative AI using Amazon Bedrock and Amazon Aurora ...
24 May 2024, AWS Blog

provided by Google News

Using BigchainDB: A Database with Blockchain Characteristics
20 January 2022, Open Source For You

Blockchain Database Startup BigchainDB Raises €3 Million
27 September 2016, CoinDesk

BigchainDB Raises €3M Series A Funding
28 September 2016, FinSMEs

ascribe announces scalable blockchain database BigchainDB - CoinReport
13 February 2016, CoinReport

BigchainDB: A Popular and Powerful Database for Blockchain
9 September 2019, Open Source For You

provided by Google News

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

provided by Google News

VTEX scales to 150 million metrics using Amazon Managed Service for Prometheus | Amazon Web Services
10 March 2024, AWS Blog

Exadata Real-Time Insight - Quick Start
3 April 2024, Oracle

OpenTelemetry vs. Prometheus: You can’t fix what you can’t see
29 March 2024, ibm.com

VictoriaMetrics Offers Prometheus Replacement for Time Series Monitoring
17 July 2023, The New Stack

Linux System Monitoring with Prometheus, Grafana, and collectd
1 February 2024, Linux Journal

provided by Google News



Share this page

Featured Products

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.

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