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. Microsoft Azure Table Storage vs. RDF4J vs. SwayDB vs. VictoriaMetrics

System Properties Comparison EXASOL vs. Microsoft Azure Table Storage vs. RDF4J vs. SwayDB vs. VictoriaMetrics

Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSwayDB  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.A Wide Column Store for rapid development using massive semi-structured datasetsRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.An embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storageA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelRelational DBMSWide column storeRDF storeKey-value storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.47
Rank#119  Overall
#57  Relational DBMS
Score5.35
Rank#71  Overall
#6  Wide column stores
Score0.72
Rank#234  Overall
#9  RDF stores
Score0.03
Rank#385  Overall
#60  Key-value stores
Score1.59
Rank#162  Overall
#14  Time Series DBMS
Websitewww.exasol.comazure.microsoft.com/­en-us/­services/­storage/­tablesrdf4j.orgswaydb.simer.auvictoriametrics.com
Technical documentationwww.exasol.com/­resourcesrdf4j.org/­documentationdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperExasolMicrosoftSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Simer PlahaVictoriaMetrics
Initial release20002012200420182018
Current releasev1.91, May 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoGNU Affero GPL V3.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScalaGo
Server operating systemshostedLinux
OS X
Unix
Windows
FreeBSD
Linux
macOS
OpenBSD
Data schemeyesschema-freeyes infoRDF Schemasschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 indexesyesnoyesno
SQL infoSupport of SQLyesnononono
APIs and other access methods.Net
JDBC
ODBC
WebSocket
RESTful HTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesJava
Lua
Python
R
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
PHP
Python
Java
Kotlin
Scala
Server-side scripts infoStored proceduresuser defined functionsnoyesnono
Triggersyesnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud servicenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.nonenoneSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic lockingACID infoIsolation support depends on the API usedAtomic execution of operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory storage is supported as wellyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesno
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardAccess rights based on private key authentication or shared access signaturesnono

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
EXASOLMicrosoft Azure Table StorageRDF4J infoformerly known as SesameSwayDBVictoriaMetrics
Recent citations in the news

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

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

Exasol Reimagines In-Memory Analytics with Major Database Update
30 May 2023, Datanami

Exasol Unveils the No-Compromise Analytics Database Unlocking Greater Productivity, Cost-Savings, and Flexibility
30 May 2023, Business Wire

provided by Google News

How to Use C# Azure.Data.Tables SDK with Azure Cosmos DB
9 July 2021, hackernoon.com

How to use Azure Table storage in .Net
14 January 2019, InfoWorld

Inside Azure File Storage
7 October 2015, Microsoft

Testing Precompiled Azure Functions Locally with Storage Emulator
8 March 2018, Visual Studio Magazine

How to write data to Azure Table Store with an Azure Function
14 April 2017, Experts Exchange

provided by Google News

GraphDB Goes Open Source
27 January 2020, iProgrammer

Ontotext's GraphDB 8.10 Makes Knowledge Graph Experience Faster and Richer
13 June 2019, Markets Insider

provided by Google News

KubeCon24: VictoriaMetrics' Simpler Alternative to Prometheus
20 March 2024, The New Stack

VictoriaMetrics Machine Learning takes monitoring to the next level
19 March 2024, Business Wire

VictoriaMetrics takes organic growth over investor pressure
11 December 2023, The Register

VictoriaMetrics Unveils Free Trial of Its Enterprise Solution for Enhanced Monitoring and Observability
7 December 2023, Datanami

Unleashing VM histograms for Ruby: Migrating from Prometheus to VictoriaMetrics with vm-client
15 November 2023, hackernoon.com

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.

SingleStore logo

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

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

Ontotext logo

GraphDB allows you to link diverse data, index it for semantic search and enrich it via text analysis to build big knowledge graphs. Get it free.

Present your product here