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DBMS > Hypertable vs. LeanXcale vs. mSQL vs. RavenDB vs. TDengine

System Properties Comparison Hypertable vs. LeanXcale vs. mSQL vs. RavenDB vs. TDengine

Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonLeanXcale  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonRavenDB  Xexclude from comparisonTDengine  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionAn open source BigTable implementation based on distributed file systems such as HadoopA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesmSQL (Mini SQL) is a simple and lightweight RDBMSOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseTime Series DBMS and big data platform
Primary database modelWide column storeKey-value store
Relational DBMS
Relational DBMSDocument storeTime Series DBMS
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.36
Rank#280  Overall
#40  Key-value stores
#129  Relational DBMS
Score1.27
Rank#169  Overall
#76  Relational DBMS
Score2.84
Rank#101  Overall
#18  Document stores
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Websitewww.leanxcale.comhughestech.com.au/­products/­msqlravendb.netgithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationravendb.net/­docsdocs.tdengine.com
DeveloperHypertable Inc.LeanXcaleHughes TechnologiesHibernating RhinosTDEngine, previously Taos Data
Initial release20092015199420102019
Current release0.9.8.11, March 20164.4, October 20215.4, July 20223.0, August 2022
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availablecommercialcommercial infofree licenses can be providedOpen Source infoAGPL version 3, commercial license availableOpen Source infoAGPL V3, also commercial editions 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 languageC++CC#C
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
macOS
Raspberry Pi
Windows
Linux
Windows
Data schemeschema-freeyesyesschema-freeyes
Typing infopredefined data types such as float or datenoyesnoyes
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.nono
Secondary indexesrestricted infoonly exact value or prefix value scansyesyesno
SQL infoSupport of SQLnoyes infothrough Apache DerbyA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersSQL-like query language (RQL)Standard SQL with extensions for time-series applications
APIs and other access methodsC++ API
Thrift
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
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
JDBC
RESTful HTTP API
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
C
Java
Scala
C
C++
Delphi
Java
Perl
PHP
Tcl
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresnonoyesno
Triggersnonoyesyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelnoneMulti-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencynoneDefault 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.
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesnoyesyes
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.yesno
User concepts infoAccess controlnonoAuthorization levels configured per client per databaseyes
More information provided by the system vendor
HypertableLeanXcalemSQL infoMini SQLRavenDBTDengine
Specific characteristicsTDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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More resources
HypertableLeanXcalemSQL infoMini SQLRavenDBTDengine
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