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DBMS > Hazelcast vs. IRONdb vs. Stardog vs. Teradata Aster

System Properties Comparison Hazelcast vs. IRONdb vs. Stardog vs. Teradata Aster

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Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonIRONdb  Xexclude from comparisonStardog  Xexclude from comparisonTeradata Aster  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionA widely adopted in-memory data gridA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationPlatform for big data analytics on multistructured data sources and types
Primary database modelKey-value storeTime Series DBMSGraph DBMS
RDF store
Relational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.97
Rank#57  Overall
#6  Key-value stores
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Websitehazelcast.comwww.circonus.com/solutions/time-series-database/www.stardog.com
Technical documentationhazelcast.org/­imdg/­docsdocs.circonus.com/irondb/category/getting-starteddocs.stardog.com
DeveloperHazelcastCirconus LLC.Stardog-UnionTeradata
Initial release2008201720102005
Current release5.3.6, November 2023V0.10.20, January 20187.3.0, May 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentscommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++Java
Server operating systemsAll OS with a Java VMLinuxLinux
macOS
Windows
Linux
Data schemeschema-freeschema-freeschema-free and OWL/RDFS-schema supportFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramsyesyes
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.yes infothe object must implement a serialization strategynono infoImport/export of XML data possibleyes infoin Aster File Store
Secondary indexesyesnoyes infosupports real-time indexing in full-text and geospatialyes
SQL infoSupport of SQLSQL-like query languageSQL-like query language (Circonus Analytics Query Language: CAQL)Yes, compatible with all major SQL variants through dedicated BI/SQL Serveryes
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
HTTP APIGraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresyes infoEvent Listeners, Executor Servicesyes, in Luauser defined functions and aggregates, HTTP Server extensions in JavaR packages
Triggersyes infoEventsnoyes infovia event handlersno
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic, metric affinity per nodenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated Mapconfigurable replication factor, datacenter awareMulti-source replication in HA-Clusteryes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate consistency per node, eventual consistency across nodesImmediate Consistency in HA-ClusterImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitednoACIDACID
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.yesnoyesno
User concepts infoAccess controlRole-based access controlnoAccess rights for users and rolesfine grained access rights according to SQL-standard

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More resources
HazelcastIRONdbStardogTeradata Aster
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