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DBMS > PostGIS vs. Speedb vs. TDengine vs. YugabyteDB

System Properties Comparison PostGIS vs. Speedb vs. TDengine vs. YugabyteDB

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Editorial information provided by DB-Engines
NamePostGIS  Xexclude from comparisonSpeedb  Xexclude from comparisonTDengine  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionSpatial extension of PostgreSQLAn embeddable, high performance key-value store optimized for write-intensive workloads, which can be used as a drop-in replacement for RocksDBTime Series DBMS and big data platformHigh-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelSpatial DBMSKey-value storeTime Series DBMSRelational DBMS
Secondary database modelsRelational DBMSRelational DBMSDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Score0.21
Rank#315  Overall
#45  Key-value stores
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Score2.91
Rank#102  Overall
#51  Relational DBMS
Websitepostgis.netwww.speedb.iogithub.com/­taosdata/­TDengine
tdengine.com
www.yugabyte.com
Technical documentationpostgis.net/­documentationdocs.tdengine.comdocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperSpeedbTDEngine, previously Taos DataYugabyte Inc.
Initial release2005202020192017
Current release3.4.2, February 20243.0, August 20222.19, September 2023
License infoCommercial or Open SourceOpen Source infoGPL v2.0Open Source infoApache Version 2.0; commercial license availableOpen Source infoAGPL V3, also commercial editions availableOpen Source infoApache 2.0
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.
YugabyteDB Managed is the fully managed database-as-a-service offering of YugabyteDB. Get started quickly, and effortlessly ensure continuous availability and limitless scale of your cloud native applications.
Implementation languageCC++CC and C++
Server operating systemsLinux
Windows
Linux
Windows
Linux
OS X
Data schemeyesschema-freeyesdepending on used data model
Typing infopredefined data types such as float or dateyesnoyesyes
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.yesnonono
Secondary indexesyesnonoyes
SQL infoSupport of SQLyesnoStandard SQL with extensions for time-series applicationsyes, PostgreSQL compatible
APIs and other access methodsJDBC
RESTful HTTP API
JDBC
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
YSQL - a fully relational SQL API that is wire compatible with the SQL language in PostgreSQL
Supported programming languagesC
C++
Go
Java
Perl
Python
Ruby
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresuser defined functionsnonoyes infosql, plpgsql, C
Triggersyesyes, via alarm monitoringyes
Partitioning methods infoMethods for storing different data on different nodesyes infobased on PostgreSQLhorizontal partitioningShardingHash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infobased on PostgreSQLyesyesBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlyes infobased on PostgreSQLnoyesyes
More information provided by the system vendor
PostGISSpeedbTDengineYugabyteDB
Specific characteristicsSpeedb is an embedded key-value storage engine for versatile use cases. It was designed...
» more
TDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
YugabyteDB is an open source distributed SQL database for cloud native transactional...
» more
Competitive advantagesSpeedb Open-source rebases on RocksDB's latest versions, with enhanced capabilities...
» more
High Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
PostgreSQL compatible: Get instantly productive with a PostgreSQL compatible RDBMS....
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Systems of record and engagement for cloud native applications that require resilience,...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
2 Million+ lifetime clusters deployed, 6.5K+ GitHub stars, 7K YugabyteDB Community...
» more
Licensing and pricing modelsOpen source - Speedb OSS is released under an Apache license and can be found on...
» more
TDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
Apache 2.0 license for the database
» more
News

Seamless Data Integration from MQTT and InfluxDB to TDengine
22 May 2024

Solving Long Query Performance Bottlenecks
22 May 2024

What Is Predictive Maintenance?
17 May 2024

Can Typical Time-Series Databases Replace Data Historians?
8 May 2024

TDengine 3.3.0.0 Release Notes
7 May 2024

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More resources
PostGISSpeedbTDengineYugabyteDB
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