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DBMS > Hazelcast vs. SiriDB vs. Sqrrl vs. Teradata Aster vs. Tibero

System Properties Comparison Hazelcast vs. SiriDB vs. Sqrrl vs. Teradata Aster vs. Tibero

Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonSiriDB  Xexclude from comparisonSqrrl  Xexclude from comparisonTeradata Aster  Xexclude from comparisonTibero  Xexclude from comparison
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.
DescriptionA widely adopted in-memory data gridOpen Source Time Series DBMSAdaptable, secure NoSQL built on Apache AccumuloPlatform for big data analytics on multistructured data sources and typesA secure RDBMS, designed for easy portability from Oracle
Primary database modelKey-value storeTime Series DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Relational DBMSRelational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.87
Rank#55  Overall
#6  Key-value stores
Score0.11
Rank#346  Overall
#32  Time Series DBMS
Score1.81
Rank#143  Overall
#65  Relational DBMS
Websitehazelcast.comsiridb.comsqrrl.comus.tmaxsoft.com/­products/­tibero
Technical documentationhazelcast.org/­imdg/­docsdocs.siridb.comtechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.html
DeveloperHazelcastCesbitAmazon infooriginally Sqrrl Data, Inc.TeradataTmaxSoft
Initial release20082017201220052003
Current release5.3.6, November 20236, April 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infoMIT Licensecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCJavaC and Assembler
Server operating systemsAll OS with a Java VMLinuxLinuxLinuxAIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeyesschema-freeFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeyes
Typing infopredefined data types such as float or dateyesyes infoNumeric datayesyesyes
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 strategynoyes infoin Aster File Storeyes
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSQL-like query languagenonoyesyes
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
HTTP APIAccumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
ADO.NET
JDBC
ODBC
OLE DB
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
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
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresyes infoEvent Listeners, Executor ServicesnonoR packagesPersistent Stored Procedure (PSM)
Triggersyes infoEventsnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infomaking use of HadoopShardinghorizontal partitioning infoby range, hash, list or composite
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated Mapyesselectable 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.Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesyes infoSQL Map-Reduce Frameworkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate 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 configurationImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitednoAtomic updates per row, document, or graph entityACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnono infoplanned for next version
User concepts infoAccess controlRole-based access controlsimple rights management via user accountsCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)fine grained access rights according to SQL-standardfine grained access rights according to SQL-standard (SQL 92, SQL 99)

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More resources
HazelcastSiriDBSqrrlTeradata AsterTibero
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