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DBMS > eXtremeDB vs. InfluxDB vs. RisingWave vs. Teradata

System Properties Comparison eXtremeDB vs. InfluxDB vs. RisingWave vs. Teradata

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Editorial information provided by DB-Engines
NameeXtremeDB  Xexclude from comparisonInfluxDB  Xexclude from comparisonRisingWave  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionNatively in-memory DBMS with options for persistency, high-availability and clusteringDBMS for storing time series, events and metricsA distributed RDBMS for stream processing, wire-compatible with PostgreSQLA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelRelational DBMS
Time Series DBMS
Time Series DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS infowith GEO packageDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.80
Rank#214  Overall
#99  Relational DBMS
#18  Time Series DBMS
Score24.39
Rank#28  Overall
#1  Time Series DBMS
Score0.64
Rank#238  Overall
#110  Relational DBMS
Score44.87
Rank#22  Overall
#15  Relational DBMS
Websitewww.mcobject.comwww.influxdata.com/­products/­influxdb-overviewwww.risingwave.com/­databasewww.teradata.com
Technical documentationwww.mcobject.com/­docs/­extremedb.htmdocs.influxdata.com/­influxdbdocs.risingwave.com/­docs/­current/­introdocs.teradata.com
DeveloperMcObjectRisingWave LabsTeradata
Initial release2001201320221984
Current release8.2, 20212.7.6, April 20241.2, September 2023Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourcecommercialOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoApache Version 2.0commercial
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 languageC and C++GoRust
Server operating systemsAIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
OS X infothrough Homebrew
Docker
Linux
macOS
hosted
Linux
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesNumeric data and StringsStandard SQL-types and JSONyes
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.no infosupport of XML interfaces availablenonoyes
Secondary indexesyesnoyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLyes infowith the option: eXtremeSQLSQL-like query languageyesyes infoSQL 2016 + extensions
APIs and other access methods.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
HTTP API
JSON over UDP
JDBC
PostgreSQL wire protocol
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languages.Net
C
C#
C++
Java
Lua
Python
Scala
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
Go
Java
JavaScript (Node.js)
Python
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresyesnoUDFs in Python or Javayes infoUDFs, stored procedures, table functions in parallel
Triggersyes infoby defining eventsnonoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning / shardingSharding infoin enterprise version onlySharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
selectable replication factor infoin enterprise version onlyMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoDepending on used storage engineyesyes
User concepts infoAccess controlsimple rights management via user accountsUsers and Rolesfine grained access rights according to SQL-standard
More information provided by the system vendor
eXtremeDBInfluxDBRisingWaveTeradata
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more
InfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» more
Time to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
IoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
InfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Fastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more
Open source core with closed source clustering available either on-premise or on...
» more
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