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DBMS > Hazelcast vs. Newts vs. Sqrrl vs. Teradata Aster vs. Vitess

System Properties Comparison Hazelcast vs. Newts vs. Sqrrl vs. Teradata Aster vs. Vitess

Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonNewts  Xexclude from comparisonSqrrl  Xexclude from comparisonTeradata Aster  Xexclude from comparisonVitess  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 gridTime Series DBMS based on CassandraAdaptable, secure NoSQL built on Apache AccumuloPlatform for big data analytics on multistructured data sources and typesScalable, distributed, cloud-native DBMS, extending MySQL
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 3.12Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.46
Rank#60  Overall
#6  Key-value stores
Score0.00
Rank#386  Overall
#41  Time Series DBMS
Score0.94
Rank#191  Overall
#88  Relational DBMS
Websitehazelcast.comopennms.github.io/­newtssqrrl.comvitess.io
Technical documentationhazelcast.org/­imdg/­docsgithub.com/­OpenNMS/­newts/­wikivitess.io/­docs
DeveloperHazelcastOpenNMS GroupAmazon infooriginally Sqrrl Data, Inc.TeradataThe Linux Foundation, PlanetScale
Initial release20082014201220052013
Current release5.3.6, November 202315.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache 2.0commercialcommercialOpen Source infoApache Version 2.0, commercial licenses available
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 languageJavaJavaJavaGo
Server operating systemsAll OS with a Java VMLinux
OS X
Windows
LinuxLinuxDocker
Linux
macOS
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 Storeyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 Store
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLSQL-like query languagenonoyesyes infowith proprietary extensions
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
HTTP REST
Java API
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
ADO.NET
JDBC
ODBC
OLE DB
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
JavaActionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
C
C#
C++
Java
Python
R
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes infoEvent Listeners, Executor ServicesnonoR packagesyes infoproprietary syntax
Triggersyes infoEventsnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraSharding infomaking use of HadoopShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated Mapselectable replication factor infobased on Cassandraselectable 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 AlgorithmEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate 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 configurationEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynonononoyes infonot for MyISAM storage engine
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 at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infotable locks or row locks depending on storage engine
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.yesnonoyes
User concepts infoAccess controlRole-based access controlnoCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)fine grained access rights according to SQL-standardUsers with fine-grained authorization concept infono user groups or roles

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More resources
HazelcastNewtsSqrrlTeradata AsterVitess
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