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DBMS > FeatureBase vs. Google Cloud Firestore vs. IBM Db2 Event Store vs. XTDB

System Properties Comparison FeatureBase vs. Google Cloud Firestore vs. IBM Db2 Event Store vs. XTDB

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Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.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 casesA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMSDocument storeEvent Store
Time Series DBMS
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#309  Overall
#139  Relational DBMS
Score7.85
Rank#51  Overall
#8  Document stores
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.11
Rank#343  Overall
#46  Document stores
Websitewww.featurebase.comfirebase.google.com/­products/­firestorewww.ibm.com/­products/­db2-event-storegithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdocs.featurebase.comfirebase.google.com/­docs/­firestorewww.ibm.com/­docs/­en/­db2-event-storewww.xtdb.com/­docs
DeveloperMolecula and Pilosa Open Source ContributorsGoogleIBMJuxt Ltd.
Initial release2017201720172019
Current release2022, May 20222.01.19, September 2021
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree developer edition availableOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC and C++Clojure
Server operating systemsLinux
macOS
hostedLinux infoLinux, macOS, Windows for the developer additionAll OS with a Java 8 (and higher) VM
Linux
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes, extensible-data-notation format
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 indexesnoyesnoyes
SQL infoSupport of SQLSQL queriesnoyes infothrough the embedded Spark runtimelimited SQL, making use of Apache Calcite
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
HTTP REST
JDBC
Supported programming languagesJava
Python
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Clojure
Java
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsyesno
Triggersnoyes, with Cloud Functionsnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationActive-active shard replicationyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesyesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutableyes
Durability infoSupport for making data persistentyes, using Linux fsyncyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess 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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More resources
FeatureBaseGoogle Cloud FirestoreIBM Db2 Event StoreXTDB infoformerly named Crux
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