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DBMS > BigchainDB vs. Firebase Realtime Database vs. TDengine vs. VelocityDB vs. Vertica

System Properties Comparison BigchainDB vs. Firebase Realtime Database vs. TDengine vs. VelocityDB vs. Vertica

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonTDengine  Xexclude from comparisonVelocityDB  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Time Series DBMS and big data platformA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)Cloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.
Primary database modelDocument storeDocument storeTime Series DBMSGraph DBMS
Object oriented DBMS
Relational DBMS infoColumn oriented
Secondary database modelsRelational DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#208  Overall
#35  Document stores
Score13.64
Rank#39  Overall
#6  Document stores
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Score0.11
Rank#354  Overall
#37  Graph DBMS
#15  Object oriented DBMS
Score10.06
Rank#42  Overall
#26  Relational DBMS
Websitewww.bigchaindb.comfirebase.google.com/­products/­realtime-databasegithub.com/­taosdata/­TDengine
tdengine.com
velocitydb.comwww.vertica.com
Technical documentationbigchaindb.readthedocs.io/­en/­latestfirebase.google.com/­docs/­databasedocs.tdengine.comvelocitydb.com/­UserGuidevertica.com/­documentation
DeveloperGoogle infoacquired by Google 2014TDEngine, previously Taos DataVelocityDB IncOpenText infopreviously Micro Focus and Hewlett Packard
Initial release20162012201920112005
Current release3.0, August 20227.x12.0.3, January 2023
License infoCommercial or Open SourceOpen Source infoAGPL v3commercialOpen Source infoAGPL V3, also commercial editions availablecommercialcommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenoyesnonono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonCC#C++
Server operating systemsLinuxhostedLinux
Windows
Any that supports .NETLinux
Data schemeschema-freeschema-freeyesyesYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
Typing infopredefined data types such as float or datenoyesyesyesyes
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.nonononono
Secondary indexesyesnoyesNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLnonoStandard SQL with extensions for time-series applicationsnoFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsCLI Client
RESTful HTTP API
Android
iOS
JavaScript API
RESTful HTTP API
JDBC
RESTful HTTP API
.NetADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
Java
JavaScript
Objective-C
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
.NetC#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored procedureslimited functionality with using 'rules'nonoyes, PostgreSQL PL/pgSQL, with minor differences
TriggersCallbacks are triggered when data changesyes, via alarm monitoringCallbacks are triggered when data changesyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardinghorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlyesyes, based on authentication and database rulesyesBased on Windows Authenticationfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
BigchainDBFirebase Realtime DatabaseTDengineVelocityDBVertica infoOpenText™ Vertica™
Specific characteristicsTDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Deploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Fast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Communication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» 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
Cost-based models and subscription-based models are both available. One license is...
» more
News

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12 June 2024

Enhancing IoT and Industrial Data Management with TDengine’s MySQL Connector
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Comprehensive Comparison Between TDengine and TimescaleDB
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Mastering Memory Leak Detection in TDengine
31 May 2024

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More resources
BigchainDBFirebase Realtime DatabaseTDengineVelocityDBVertica infoOpenText™ Vertica™
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