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DBMS > atoti vs. InfluxDB vs. NSDb vs. TiDB

System Properties Comparison atoti vs. InfluxDB vs. NSDb vs. TiDB

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonInfluxDB  Xexclude from comparisonNSDb  Xexclude from comparisonTiDB  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.DBMS for storing time series, events and metricsScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesTiDB is an open source distributed SQL database that supports Hybrid Transactional/Analytical Processing (HTAP) workloads. It is MySQL compatible and features horizontal scalability, strong consistency, and high availability.
Primary database modelObject oriented DBMSTime Series DBMSTime Series DBMSRelational DBMS
Secondary database modelsSpatial DBMS infowith GEO packageDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.59
Rank#242  Overall
#10  Object oriented DBMS
Score26.56
Rank#28  Overall
#1  Time Series DBMS
Score0.00
Rank#396  Overall
#42  Time Series DBMS
Score4.94
Rank#72  Overall
#40  Relational DBMS
Websiteatoti.iowww.influxdata.com/­products/­influxdb-overviewnsdb.iopingcap.com
Technical documentationdocs.atoti.iodocs.influxdata.com/­influxdbnsdb.io/­Architecturedocs.pingcap.com/­tidb/­stable
DeveloperActiveViamPingCAP, Inc.
Initial release201320172016
Current release2.7.5, January 20247.6.0, January 2024
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoApache Version 2.0Open 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.
TiDB Cloud: Fully-managed TiDB Service. Bring everything great about TiDB to the cloud.
Implementation languageJavaGoJava, ScalaGo, Rust
Server operating systemsLinux
OS X infothrough Homebrew
Linux
macOS
Linux
Data schemeschema-freeyes
Typing infopredefined data types such as float or dateNumeric data and Stringsyes: int, bigint, decimal, stringyes
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.nonono
Secondary indexesnoall fields are automatically indexedyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)SQL-like query languageSQL-like query languageyes
APIs and other access methodsHTTP API
JSON over UDP
gRPC
HTTP REST
WebSocket
GORM
JDBC
ODBC
Proprietary protocol
SQLAlchemy
Supported programming languages.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
Java
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresPythonnonono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningSharding infoin enterprise version onlyShardinghorizontal partitioning (by key range)
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlyUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infowith TiSpark Connector
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes infofull support since version 6.6
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoDepending on used storage engineno
User concepts infoAccess controlsimple rights management via user accountsFine grained access rights according to SQL-standard
More information provided by the system vendor
atotiInfluxDBNSDbTiDB
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
TiDB is an advanced open-source, distributed SQL database for modern application...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
- HORIZONTAL SCALING : TiDB grants total transparency into your data workloads without...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
TiDB is ideal for transactional applications that require extreme scalability and...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Block, Pinterest, Catalyst, Bolt, Flipkart, Capcom, Shopee (E-commerce), JD Cloud...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
34K+ GitHub stars 5K+ members in TiDB Community Slack 1K+ community contributors...
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
TiDB Community : Free open source software (Apache 2.0) TiDB Self-Hosted : Enterprise...
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
atotiInfluxDBNSDbTiDB
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