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DBMS > EXASOL vs. IRONdb vs. RDF4J vs. SwayDB vs. Vertica

System Properties Comparison EXASOL vs. IRONdb vs. RDF4J vs. SwayDB vs. Vertica

Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonIRONdb  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSwayDB  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.A distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityRDF4J 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 storageColumnar relational DBMS designed to handle modern analytic workloads, enabling fast query performance
Primary database modelRelational DBMSTime Series DBMSRDF storeKey-value storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.89
Rank#83  Overall
#45  Relational DBMS
Score0.00
Rank#350  Overall
#31  Time Series DBMS
Score0.60
Rank#221  Overall
#9  RDF stores
Score0.10
Rank#313  Overall
#48  Key-value stores
Score20.68
Rank#35  Overall
#21  Relational DBMS
Websitewww.exasol.comwww.circonus.com/­solutions/­time-series-databaserdf4j.orgswaydb.iowww.vertica.com
Technical documentationwww.exasol.com/­resourcesdocs.circonus.com/­irondbrdf4j.org/­documentationwww.vertica.com/­docs/­10.0.x/­HTML/­Content/­Home.htm
DeveloperExasolCirconus LLC.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.Simer PlahaVertica / Micro Focus infoprior to that Hewlett Packard
Initial release20002017200420182005
Current releaseV0.10.20, January 2018Vertica 10.0 Software, May 2020
Vertica for SQL on Hadoop 10.0 Software, May 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoGNU Affero GPL V3.0commercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenonononono infoAvailable on all major clouds - Amazon AWS, Microsoft Azure and Google Cloud Platform
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++JavaScala
Server operating systemsLinuxLinux
OS X
Unix
Windows
Linux
Data schemeyesschema-freeyes infoRDF Schemasschema-freeyes infoUnstructured data can be stored in specific Flex-Tables
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramsyesnoyes
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.nononoyes
Secondary indexesyesnoyesnono infoThe concept of 'projections' can be used instead of indexes.
SQL infoSupport of SQLyesSQL-like query language (Circonus Analytics Query Language: CAQL)nonoyes infonearly full SQL99 without support for indexes and triggers
APIs and other access methods.Net
JDBC
ODBC
WebSocket
HTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
ADO.NET
JDBC
Kafka
ODBC
Proprietary protocol
RESTful HTTP API
Supported programming languagesJava
Lua
Python
R
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Java
PHP
Python
Java
Kotlin
Scala
C++
Java
Perl
Python
R
Server-side scripts infoStored proceduresuser defined functionsyes, in Luayesnoyes
Triggersyesnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic, metric affinity per nodenonenoneSharding infoSegmentation, Projection Segmentation, Hash Segmentation
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awarenonenoneMulti-source replication infoCluster level and Object level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnononoyes infowith Vertica Connector for Hadoop
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoIsolation support depends on the API usedAtomic execution of operationsACID
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.yesnoyes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardnononofine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
EXASOLIRONdbRDF4J infoformerly known as SesameSwayDBVertica infoVertica Analytics Platform
Specific characteristicsColumnar storage, MPP, Hybrid storage model, Aggressive data compression, High availability,...
» more
Competitive advantagesPerformance at exabyte scale, Deploy anywhere, Open source innovation, Analysis in...
» more
Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Licensing and pricing modelsCost-based models and subscription-based models are available
» more

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More resources
EXASOLIRONdbRDF4J infoformerly known as SesameSwayDBVertica infoVertica Analytics Platform
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