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DBMS > Apache Cassandra vs. Hazelcast vs. HEAVY.AI vs. Teradata Aster

System Properties Comparison Apache Cassandra vs. Hazelcast vs. HEAVY.AI vs. Teradata Aster

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Editorial information provided by DB-Engines
NameApache Cassandra  Xexclude from comparisonHazelcast  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessA widely adopted in-memory data gridA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwarePlatform for big data analytics on multistructured data sources and types
Primary database modelWide column storeKey-value storeRelational DBMSRelational DBMS
Secondary database modelsVector DBMS infostarting with release V5Document store infoJSON support with IMDG 3.12Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score98.94
Rank#11  Overall
#1  Wide column stores
Score5.72
Rank#59  Overall
#6  Key-value stores
Score1.41
Rank#153  Overall
#71  Relational DBMS
Websitecassandra.apache.orghazelcast.comgithub.com/­heavyai/­heavydb
www.heavy.ai
Technical documentationcassandra.apache.org/­doc/­latesthazelcast.org/­imdg/­docsdocs.heavy.ai
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookHazelcastHEAVY.AI, Inc.Teradata
Initial release2008200820162005
Current release5.0-rc1, July 20245.3.6, November 20235.10, January 2022
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache Version 2; commercial licenses availableOpen Source infoApache Version 2; enterprise edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Astra DB: Multi-cloud DBaaS built on Apache Cassandra.
Implementation languageJavaJavaC++ and CUDA
Server operating systemsBSD
Linux
OS X
Windows
All OS with a Java VMLinuxLinux
Data schemeschema-freeschema-freeyesFlexible 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 dateyesyesyesyes
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.noyes infothe object must implement a serialization strategynoyes infoin Aster File Store
Secondary indexesrestricted infoonly equality queries, not always the best performing solutionyesnoyes
SQL infoSupport of SQLSQL-like SELECT, DML and DDL statements (CQL)SQL-like query languageyesyes
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
JCache
JPA
Memcached protocol
RESTful HTTP API
JDBC
ODBC
Thrift
Vega
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
All languages supporting JDBC/ODBC/Thrift
Python
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnoyes infoEvent Listeners, Executor ServicesnoR packages
Triggersyesyes infoEventsnono
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"ShardingSharding infoRound robinSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoRepresentation of geographical distribution of servers is possibleyes infoReplicated MapMulti-source replicationyes 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 methodsyesyesnoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsone or two-phase-commit; repeatable reads; read commitednoACID
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.noyesyesno
User concepts infoAccess controlAccess rights for users can be defined per objectRole-based access controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
Apache CassandraHazelcastHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Teradata Aster
Specific characteristicsApache Cassandra is the leading NoSQL, distributed database management system, well...
» more
Competitive advantagesNo single point of failure ensures 100% availability . Operational simplicity for...
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Typical application scenariosInternet of Things (IOT), fraud detection applications, recommendation engines, product...
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Key customersApple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
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Market metricsApache Cassandra is used by 40% of the Fortune 100.
» more
Licensing and pricing modelsApache license  Pricing for commercial distributions provided by DataStax and available...
» more
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