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DBMS > Hypertable vs. openGauss vs. RavenDB vs. TempoIQ vs. Teradata Aster

System Properties Comparison Hypertable vs. openGauss vs. RavenDB vs. TempoIQ vs. Teradata Aster

Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonopenGauss  Xexclude from comparisonRavenDB  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.TempoIQ seems to be decommissioned. It will be 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 HadoopAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseScalable analytics DBMS for sensor data, provided as a service (SaaS)Platform for big data analytics on multistructured data sources and types
Primary database modelWide column storeRelational DBMSDocument storeTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.08
Rank#183  Overall
#84  Relational DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Websitegitee.com/­opengauss
opengauss.org
ravendb.nettempoiq.com (offline)
Technical documentationdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
ravendb.net/­docs
DeveloperHypertable Inc.Huawei and openGauss communityHibernating RhinosTempoIQTeradata
Initial release20092019201020122005
Current release0.9.8.11, March 20163.0, March 20225.4, July 2022
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availableOpen SourceOpen Source infoAGPL version 3, commercial license availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C, C++, JavaC#
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
LinuxLinux
macOS
Raspberry Pi
Windows
Linux
Data schemeschema-freeyesschema-freeschema-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 datenoyesnoyesyes
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.nonoyes infoin Aster File Store
Secondary indexesrestricted infoonly exact value or prefix value scansyesyesyes
SQL infoSupport of SQLnoANSI SQL 2011SQL-like query language (RQL)noyes
APIs and other access methodsC++ API
Thrift
JDBC
ODBC
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
HTTP APIADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
C
C++
Java
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
Java
JavaScript infoNode.js
Python
Ruby
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnoyesyesnoR packages
Triggersnoyesyesyes infoRealtime Alertsno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by range, list and hash)ShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelSource-replica replicationMulti-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 methodsyesnoyesnoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID, Cluster-wide transaction availablenoACID
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.nonono
User concepts infoAccess controlnoAccess rights for users, groups and roles according to SQL-standardAuthorization levels configured per client per databasesimple authentication-based access controlfine grained access rights according to SQL-standard

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More resources
HypertableopenGaussRavenDBTempoIQ infoformerly TempoDBTeradata Aster
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