DBMS > Google Cloud Firestore vs. IBM Db2 Event Store
System Properties Comparison Google Cloud Firestore vs. IBM Db2 Event Store
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|Editorial information provided by DB-Engines|
|Name||Google Cloud Firestore Xexclude from comparison||IBM Db2 Event Store Xexclude from comparison|
|Description||Cloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.||Distributed Event Store optimized for Internet of Things use cases|
|Primary database model||Document store||Event Store|
Time Series DBMS
|License Commercial or Open Source||commercial||commercial free developer edition available|
|Cloud-based only Only available as a cloud service||yes||no|
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|Implementation language||C and C++|
|Server operating systems||hosted||Linux Linux, macOS, Windows for the developer addition|
|Typing predefined data types such as float or date||yes||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|
|SQL Support of SQL||no||yes through the embedded Spark runtime|
|APIs and other access methods||Android|
gRPC (using protocol buffers) API
RESTful HTTP API
RESTful HTTP API
|Supported programming languages||Go|
|Server-side scripts Stored procedures||yes, Firebase Rules & Cloud Functions||yes|
|Triggers||yes, with Cloud Functions||no|
|Partitioning methods Methods for storing different data on different nodes||Sharding||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||Multi-source replication||Active-active shard replication|
|MapReduce Offers an API for user-defined Map/Reduce methods||Using Cloud Dataflow||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Eventual Consistency|
|Foreign keys Referential integrity||no||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||yes||no|
|Concurrency Support for concurrent manipulation of data||yes||No - written data is immutable|
|Durability Support for making data persistent||yes||Yes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storage|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes|
|User concepts Access control||Access rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.||fine grained access rights according to SQL-standard|
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|Google Cloud Firestore||IBM Db2 Event Store|
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