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DBMS > Hypertable vs. Sqrrl vs. StarRocks vs. Teradata Aster

System Properties Comparison Hypertable vs. Sqrrl vs. StarRocks vs. Teradata Aster

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Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonSqrrl  Xexclude from comparisonStarRocks  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.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 open source BigTable implementation based on distributed file systems such as HadoopAdaptable, secure NoSQL built on Apache AccumuloAn open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache DorisPlatform for big data analytics on multistructured data sources and types
Primary database modelWide column storeDocument store
Graph DBMS
Key-value store
Wide column store
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.93
Rank#198  Overall
#93  Relational DBMS
Websitesqrrl.comwww.starrocks.io
Technical documentationdocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperHypertable Inc.Amazon infooriginally Sqrrl Data, Inc.The Linux Foundation infosince Feb 2023Teradata
Initial release2009201220202005
Current release0.9.8.11, March 20162.5.3, March 2023
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availablecommercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC++, Java
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
LinuxLinuxLinux
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 datenoyesyesyes
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 Store
Secondary indexesrestricted infoonly exact value or prefix value scansyesyesyes
SQL infoSupport of SQLnonoyesyes
APIs and other access methodsC++ API
Thrift
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
JDBC
MySQL protocol
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
JavaC
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnonouser defined functionsR packages
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infomaking use of Hadoophorizontal partitioning (by range and hash)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelselectable 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 methodsyesyesnoyes infoSQL Map-Reduce Framework
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 ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic updates per row, document, or graph entitynoACID
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 controlnoCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)Role based access control and fine grained access rightsfine grained access rights according to SQL-standard

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More resources
HypertableSqrrlStarRocksTeradata Aster
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