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DBMS > atoti vs. Blazegraph vs. Hazelcast vs. Sqrrl vs. Teradata Aster

System Properties Comparison atoti vs. Blazegraph vs. Hazelcast vs. Sqrrl vs. Teradata Aster

Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonBlazegraph  Xexclude from comparisonHazelcast  Xexclude from comparisonSqrrl  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.High-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.A widely adopted in-memory data gridAdaptable, secure NoSQL built on Apache AccumuloPlatform for big data analytics on multistructured data sources and types
Primary database modelObject oriented DBMSGraph DBMS
RDF store
Key-value storeDocument store
Graph DBMS
Key-value store
Wide column 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
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score0.75
Rank#219  Overall
#19  Graph DBMS
#8  RDF stores
Score5.97
Rank#57  Overall
#6  Key-value stores
Websiteatoti.ioblazegraph.comhazelcast.comsqrrl.com
Technical documentationdocs.atoti.iowiki.blazegraph.comhazelcast.org/­imdg/­docs
DeveloperActiveViamBlazegraphHazelcastAmazon infooriginally Sqrrl Data, Inc.Teradata
Initial release2006200820122005
Current release2.1.5, March 20195.3.6, November 2023
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoextended commercial license availableOpen Source infoApache Version 2; commercial licenses availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaJava
Server operating systemsLinux
OS X
Windows
All OS with a Java VMLinuxLinux
Data schemeschema-freeschema-freeschema-freeFlexible 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 dateyes infoRDF literal typesyesyesyes
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 strategyyes infoin Aster File Store
Secondary indexesyesyesyesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)SPARQL is used as query languageSQL-like query languagenoyes
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
JCache
JPA
Memcached protocol
RESTful HTTP API
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresPythonyesyes infoEvent Listeners, Executor ServicesnoR packages
Triggersnoyes infoEventsnono
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingShardingSharding infomaking use of HadoopSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoReplicated Mapselectable replication factor infomaking use of Hadoopyes 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 methodsnonoyesyesyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyes infoRelationships in Graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDone or two-phase-commit; repeatable reads; read commitedAtomic updates per row, document, or graph entityACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyesyes
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.yesyesno
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)Role-based access controlCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)fine grained access rights according to SQL-standard

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atotiBlazegraphHazelcastSqrrlTeradata Aster
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