DBMS > Firebase Realtime Database vs. Google Cloud Bigtable vs. GridDB vs. MongoDB vs. TypeDB
System Properties Comparison Firebase Realtime Database vs. Google Cloud Bigtable vs. GridDB vs. MongoDB vs. TypeDB
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Name | Firebase Realtime Database Xexclude from comparison | Google Cloud Bigtable Xexclude from comparison | GridDB Xexclude from comparison | MongoDB Xexclude from comparison | TypeDB formerly named Grakn Xexclude from comparison | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Description | Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data. | Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail. | Scalable in-memory time series database optimized for IoT and Big Data | One of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructure | TypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Primary database model | Document store | Key-value store Wide column store | Time Series DBMS | Document store | Graph DBMS Relational DBMS Often described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Secondary database models | Key-value store Relational DBMS | Spatial DBMS Search engine integrated Lucene index, currently in MongoDB Atlas only. Time Series DBMS Time Series Collections introduced in Release 5.0 Vector DBMS currently available in the MongoDB Atlas cloud service only | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Website | firebase.google.com/products/realtime-database | cloud.google.com/bigtable | griddb.net | www.mongodb.com | typedb.com | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Technical documentation | firebase.google.com/docs/database | cloud.google.com/bigtable/docs | docs.griddb.net | www.mongodb.com/docs/manual | typedb.com/docs | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Developer | Google acquired by Google 2014 | Toshiba Corporation | MongoDB, Inc | Vaticle | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Initial release | 2012 | 2015 | 2013 | 2009 | 2016 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Current release | 5.1, August 2022 | 6.0.7, June 2023 | 2.26.3, January 2024 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
License Commercial or Open Source | commercial | commercial | Open Source AGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also available | Open Source MongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available. | Open Source GPL Version 3, commercial licenses available | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Cloud-based only Only available as a cloud service | yes | yes | no | no MongoDB available as DBaaS (MongoDB Atlas) | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Implementation language | C++ | C++ | Java | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server operating systems | hosted | hosted | Linux | Linux OS X Solaris Windows | Linux OS X Windows | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Data scheme | schema-free | schema-free | yes | schema-free Although schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema. | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Typing predefined data types such as float or date | yes | no | yes numerical, string, blob, geometry, boolean, timestamp | yes string, integer, double, decimal, boolean, date, object_id, geospatial | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT. | no | no | no | no | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Secondary indexes | yes | no | yes | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
SQL Support of SQL | no | no | SQL92, SQL-like TQL (Toshiba Query Language) | Read-only SQL queries via the MongoDB Atlas SQL Interface | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
APIs and other access methods | Android iOS JavaScript API RESTful HTTP API | gRPC (using protocol buffers) API HappyBase (Python library) HBase compatible API (Java) | JDBC ODBC Proprietary protocol RESTful HTTP/JSON API | GraphQL HTTP REST Prisma proprietary protocol using JSON | gRPC protocol TypeDB Console (shell) TypeDB Studio (Visualisation software- previously TypeDB Workbase) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Supported programming languages | Java JavaScript Objective-C | C# C++ Go Java JavaScript (Node.js) Python | C C++ Go Java JavaScript (Node.js) Perl PHP Python Ruby | Actionscript unofficial driver C C# C++ Clojure unofficial driver ColdFusion unofficial driver D unofficial driver Dart unofficial driver Delphi unofficial driver Erlang Go Groovy unofficial driver Haskell Java JavaScript Kotlin Lisp unofficial driver Lua unofficial driver MatLab unofficial driver Perl PHP PowerShell unofficial driver Prolog unofficial driver Python R unofficial driver Ruby Rust Scala Smalltalk unofficial driver Swift | All JVM based languages Groovy Java JavaScript (Node.js) Python Scala | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server-side scripts Stored procedures | limited functionality with using 'rules' | no | no | JavaScript | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Triggers | Callbacks are triggered when data changes | no | yes | yes in MongoDB Atlas only | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Partitioning methods Methods for storing different data on different nodes | Sharding | Sharding | Sharding Partitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime. | Sharding by using Cassandra | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Replication methods Methods for redundantly storing data on multiple nodes | Internal replication in Colossus, and regional replication between two clusters in different zones | Source-replica replication | Multi-Source deployments with MongoDB Atlas Global Clusters Source-replica replication | Multi-source replication by using Cassandra | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
MapReduce Offers an API for user-defined Map/Reduce methods | no | yes | Connector for using GridDB as an input source and output destination for Hadoop MapReduce jobs | yes | yes by using Apache Kafka and Apache Zookeeper | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Consistency concepts Methods to ensure consistency in a distributed system | Eventual Consistency if the client is offline Immediate Consistency if the client is online | Immediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters) | Immediate consistency within container, eventual consistency across containers | Eventual Consistency can be individually decided for each read operation Immediate Consistency default behaviour | Immediate Consistency | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Foreign keys Referential integrity | no | no | no | no typically not used, however similar functionality with DBRef possible | no substituted by the relationship feature | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data | yes | Atomic single-row operations | ACID at container level | Multi-document ACID Transactions with snapshot isolation | ACID | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Concurrency Support for concurrent manipulation of data | yes | yes | yes | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Durability Support for making data persistent | yes | yes | yes | yes optional, enabled by default | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
In-memory capabilities Is there an option to define some or all structures to be held in-memory only. | no | yes | yes In-memory storage engine introduced with MongoDB version 3.2 | no | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
User concepts Access control | yes, based on authentication and database rules | Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM) | Access rights for users can be defined per database | Access rights for users and roles | yes at REST API level; other APIs in progress | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
More information provided by the system vendor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Firebase Realtime Database | Google Cloud Bigtable | GridDB | MongoDB | TypeDB formerly named Grakn | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Specific characteristics | GridDB is a highly scalable, in-memory time series database optimized for IoT and... » more | MongoDB provides an integrated suite of cloud database and data services to accelerate... » more | TypeDB is a polymorphic database with a conceptual data model, a strong subtyping... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Competitive advantages | 1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model... » more | Built around the flexible document data model and unified API, MongoDB is a developer... » more | TypeDB provides a new level of expressivity, extensibility, interoperability, and... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Typical application scenarios | Factory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system. » more | AI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of... » more | Life sciences : TypeDB makes working with biological data much easier and accelerates... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Key customers | Denso International [see use case ] An Electric Power company [see use case ] Ishinomaki... » more | ADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,... » more | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Market metrics | GitHub trending repository » more | Hundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month... » more | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Licensing and pricing models | Open Source license (AGPL v3 & Apache v2) Commercial license (subscription) » more | MongoDB database server: Server-Side Public License (SSPL) . Commercial licenses... » more | Apache f or language drivers, and AGPL and Commercial for the database server. The... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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More resources | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Firebase Realtime Database | Google Cloud Bigtable | GridDB | MongoDB | TypeDB formerly named Grakn | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
DB-Engines blog posts | Cloud-based DBMS's popularity grows at high rates | Snowflake is the DBMS of the Year 2021 PostgreSQL is the DBMS of the Year 2020 PostgreSQL is the DBMS of the Year 2018 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Recent citations in the news | Realtime vs Cloud Firestore: Which Firebase Database to go? Atos cybersecurity blog: Misconfigured Firebase: A real-time cyber threat Don't be like these 900+ websites and expose millions of passwords via Firebase Google Firebase may have exposed 125M records from misconfigurations Google launches Firebase Genkit, a new open source framework for building AI-powered apps provided by Google News | Google's AI-First Strategy Brings Vector Support To Cloud Databases Google Introduces Autoscaling for Cloud Bigtable for Optimizing Costs Review: Google Bigtable scales with ease Google scales up Cloud Bigtable NoSQL database Google introduces Cloud Bigtable managed NoSQL database to process data at scale provided by Google News | General Availability of GridDB® 5.5 Enterprise Edition ~Enhancing the efficiency of IoT system development and ... Toshiba launches cloudy managed IoT database service running its own GridDB GridDB Use case Large-scale high-speed processing of smart meter data following the deregulation of electrical power ... General Availability of GridDB 5.1 Enterprise Edition ~ Continuous database usage in the event of data center failure ... IoT: Opt for the Right Open Source Database provided by Google News | MongoDB (MDB) to Release Earnings on Thursday MongoDB Furthers Commitment to Security and Compliance with New Industry Certifications Loss-Making MongoDB, Inc. (NASDAQ:MDB) Expected To Breakeven In The Medium-Term MongoDB Q1 Earnings Preview: Caution As Investor Optimism Elevated (NASDAQ:MDB) Build RAG applications with MongoDB Atlas, now available in Knowledge Bases for Amazon Bedrock | Amazon Web ... provided by Google News | An Enterprise Data Stack Using TypeDB | by Daniel Crowe Spacecraft Engineering Models: How to Migrate UML to TypeQL Speedb Goes Open Source With Its Speedb Data Engine, A Drop-in Replacement for RocksDB Modelling Biomedical Data for a Drug Discovery Knowledge Graph 195 Data Science Libraries You Should Reconsider Using | by Dimitris Effrosynidis provided by Google News |
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