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DBMS > H2GIS vs. NSDb vs. Tarantool vs. TDengine

System Properties Comparison H2GIS vs. NSDb vs. Tarantool vs. TDengine

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Editorial information provided by DB-Engines
NameH2GIS  Xexclude from comparisonNSDb  Xexclude from comparisonTarantool  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionSpatial extension of H2Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesIn-memory computing platform with a flexible data schema for efficiently building high-performance applicationsTime Series DBMS and big data platform
Primary database modelSpatial DBMSTime Series DBMSDocument store
Key-value store
Relational DBMS
Time Series DBMS
Secondary database modelsRelational DBMSSpatial DBMS infowith Tarantool/GIS extensionRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#368  Overall
#7  Spatial DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score1.67
Rank#143  Overall
#25  Document stores
#25  Key-value stores
#65  Relational DBMS
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Websitewww.h2gis.orgnsdb.iowww.tarantool.iogithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationwww.h2gis.org/­docs/­homensdb.io/­Architecturewww.tarantool.io/­en/­docdocs.tdengine.com
DeveloperCNRSVKTDEngine, previously Taos Data
Initial release2013201720082019
Current release2.10.0, May 20223.0, August 2022
License infoCommercial or Open SourceOpen Source infoLGPL 3.0Open Source infoApache Version 2.0Open Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool EnterpriseOpen Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, ScalaC and C++C
Server operating systemsLinux
macOS
BSD
Linux
macOS
Linux
Windows
Data schemeyesFlexible data schema: relational definition for tables with ability to store json-like documents in columnsyes
Typing infopredefined data types such as float or dateyesyes: int, bigint, decimal, stringstring, double, decimal, uuid, integer, blob, boolean, datetimeyes
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.nononono
Secondary indexesyesall fields are automatically indexedyesno
SQL infoSupport of SQLyesSQL-like query languageFull-featured ANSI SQL supportStandard SQL with extensions for time-series applications
APIs and other access methodsgRPC
HTTP REST
WebSocket
Open binary protocolJDBC
RESTful HTTP API
Supported programming languagesJavaJava
Scala
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresyes infobased on H2noLua, C and SQL stored proceduresno
Triggersyesyes, before/after data modification events, on replication events, client session eventsyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime.Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infobased on H2Asynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyCasual consistency across sharding partitions
Eventual consistency within replicaset partition infowhen using asyncronous replication
Immediate Consistency within single instance
Sequential consistency including linearizable read within replicaset partition infowhen using Raft
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactions
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes, cooperative multitaskingyes
Durability infoSupport for making data persistentyesUsing Apache Luceneyes, write ahead loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes, full featured in-memory storage engine with persistence
User concepts infoAccess controlyes infobased on H2Access Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles
yes
More information provided by the system vendor
H2GISNSDbTarantoolTDengine
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
H2GISNSDbTarantoolTDengine
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