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DBMS > Apache Druid vs. Sqrrl vs. Teradata Aster vs. YTsaurus

System Properties Comparison Apache Druid vs. Sqrrl vs. Teradata Aster vs. YTsaurus

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonSqrrl  Xexclude from comparisonTeradata Aster  Xexclude from comparisonYTsaurus  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.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataAdaptable, secure NoSQL built on Apache AccumuloPlatform for big data analytics on multistructured data sources and typesYTsaurus is an open source platform for distributed storage and processing.
Primary database modelRelational DBMS
Time Series DBMS
Document store
Graph DBMS
Key-value store
Wide column store
Relational DBMSDocument store
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score0.11
Rank#340  Overall
#45  Document stores
#50  Key-value stores
Websitedruid.apache.orgsqrrl.comytsaurus.tech
Technical documentationdruid.apache.org/­docs/­latest/­designytsaurus.tech/­docs/­en
DeveloperApache Software Foundation and contributorsAmazon infooriginally Sqrrl Data, Inc.TeradataYandex
Initial release2012201220052023
Current release29.0.1, April 2024
License infoCommercial or Open SourceOpen Source infoApache license v2commercialcommercialOpen Source infoApache License, Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++
Server operating systemsLinux
OS X
Unix
LinuxLinuxUbuntu
Data schemeyes infoschema-less columns are supportedschema-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 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 infoin Aster File Storeno
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL for queryingnoyesYQL, an SQL-based language, is supported
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
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
C++
Go
Java
JavaScript
Python
Server-side scripts infoStored proceduresnonoR packages
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding infomaking use of HadoopShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesselectable 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.yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infoSQL Map-Reduce Frameworkyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate 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 integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic updates per row, document, or graph entityACIDACID
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.nono
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)fine grained access rights according to SQL-standardAccess Control Lists

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More resources
Apache DruidSqrrlTeradata AsterYTsaurus
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Apache Druid Wins Best Big Data Product in the 2023 BigDATAwire Readers' Choice Awards
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Teradata unveils improved QueryGrid connectors
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«Яндекс» открыл исходный код платформы для работы с большими данными YTsaurus
20 March 2023, ServerNews

«Яндекс» опубликовал исходный код платформы для работы с большими данными YTsaurus
21 March 2023, Rozetked.me

«Яндекс» начал приём заявок на гранты для опенсорс-проектов в рамках Yandex Open Source
27 November 2023, 3DNews

provided by Google News



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