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DBMS > Firebase Realtime Database vs. Milvus vs. Spark SQL vs. TDengine

System Properties Comparison Firebase Realtime Database vs. Milvus vs. Spark SQL vs. TDengine

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Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonMilvus  Xexclude from comparisonSpark SQL  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.A DBMS designed for efficient storage of vector data and vector similarity searchesSpark SQL is a component on top of 'Spark Core' for structured data processingTime Series DBMS and big data platform
Primary database modelDocument storeVector DBMSRelational DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.29
Rank#39  Overall
#6  Document stores
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Websitefirebase.google.com/­products/­realtime-databasemilvus.iospark.apache.org/­sqlgithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationfirebase.google.com/­docs/­databasemilvus.io/­docs/­overview.mdspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.tdengine.com
DeveloperGoogle infoacquired by Google 2014Apache Software FoundationTDEngine, previously Taos Data
Initial release2012201920142019
Current release2.3.4, January 20243.5.0 ( 2.13), September 20233.0, August 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Zilliz Cloud – Cloud-native service for Milvus
Implementation languageC++, GoScalaC
Server operating systemshostedLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
OS X
Windows
Linux
Windows
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesVector, Numeric and Stringyesyes
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 indexesyesnonono
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsStandard SQL with extensions for time-series applications
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
RESTful HTTP APIJDBC
ODBC
JDBC
RESTful HTTP API
Supported programming languagesJava
JavaScript
Objective-C
C++
Go
Java
JavaScript (Node.js)
Python
Java
Python
R
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored procedureslimited functionality with using 'rules'nonono
TriggersCallbacks are triggered when data changesnonoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesShardingyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Bounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesno
User concepts infoAccess controlyes, based on authentication and database rulesRole based access control and fine grained access rightsnoyes
More information provided by the system vendor
Firebase Realtime DatabaseMilvusSpark SQLTDengine
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
TDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
» more
High Performance at any Scale: TDengine is purpose-built for handling massive industrial...
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Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
TDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
TDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more
TDengine OSS is an open source, cloud native time series database. It includes built-in...
» more

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More resources
Firebase Realtime DatabaseMilvusSpark SQLTDengine
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