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

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

Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonRavenDB  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparisonTeradata Aster  Xexclude from comparisonXTDB infoformerly named Crux  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 HadoopOpen 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 typesA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelWide column storeDocument storeTime Series DBMSRelational DBMSDocument store
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.92
Rank#101  Overall
#18  Document stores
Score0.11
Rank#343  Overall
#46  Document stores
Websiteravendb.nettempoiq.com (offline)github.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationravendb.net/­docswww.xtdb.com/­docs
DeveloperHypertable Inc.Hibernating RhinosTempoIQTeradataJuxt Ltd.
Initial release20092010201220052019
Current release0.9.8.11, March 20165.4, July 20221.19, September 2021
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availableOpen Source infoAGPL version 3, commercial license availablecommercialcommercialOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C#Clojure
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
Linux
macOS
Raspberry Pi
Windows
LinuxAll OS with a Java 8 (and higher) VM
Linux
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 Storeschema-free
Typing infopredefined data types such as float or datenonoyesyesyes, extensible-data-notation format
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 indexesrestricted infoonly exact value or prefix value scansyesyesyes
SQL infoSupport of SQLnoSQL-like query language (RQL)noyeslimited SQL, making use of Apache Calcite
APIs and other access methodsC++ API
Thrift
.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
HTTP REST
JDBC
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
Java
JavaScript infoNode.js
Python
Ruby
C
C#
C++
Java
Python
R
Clojure
Java
Server-side scripts infoStored proceduresnoyesnoR packagesno
Triggersnoyesyes infoRealtime Alertsnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelMulti-source replicationyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.yes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnoyes infoSQL Map-Reduce Frameworkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate 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 integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID, Cluster-wide transaction availablenoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlnoAuthorization levels configured per client per databasesimple authentication-based access controlfine grained access rights according to SQL-standard

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More resources
HypertableRavenDBTempoIQ infoformerly TempoDBTeradata AsterXTDB infoformerly named Crux
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