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DBMS > BigchainDB vs. Google Cloud Firestore vs. IBM Db2 Event Store vs. Kingbase vs. LMDB

System Properties Comparison BigchainDB vs. Google Cloud Firestore vs. IBM Db2 Event Store vs. Kingbase vs. LMDB

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonKingbase  Xexclude from comparisonLMDB  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsCloud 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 casesAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.A high performant, light-weight, embedded key-value database library
Primary database modelDocument storeDocument storeEvent Store
Time Series DBMS
Relational DBMSKey-value store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#212  Overall
#36  Document stores
Score7.85
Rank#51  Overall
#8  Document stores
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.45
Rank#262  Overall
#123  Relational DBMS
Score1.99
Rank#125  Overall
#21  Key-value stores
Websitewww.bigchaindb.comfirebase.google.com/­products/­firestorewww.ibm.com/­products/­db2-event-storewww.kingbase.com.cnwww.symas.com/­symas-embedded-database-lmdb
Technical documentationbigchaindb.readthedocs.io/­en/­latestfirebase.google.com/­docs/­firestorewww.ibm.com/­docs/­en/­db2-event-storewww.lmdb.tech/­doc
DeveloperGoogleIBMBeiJing KINGBASE Information technologies inc.Symas
Initial release20162017201719992011
Current release2.0V8.0, August 20210.9.32, January 2024
License infoCommercial or Open SourceOpen Source infoAGPL v3commercialcommercial infofree developer edition availablecommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonC and C++C and JavaC
Server operating systemsLinuxhostedLinux infoLinux, macOS, Windows for the developer additionLinux
Windows
Linux
Unix
Windows
Data schemeschema-freeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesyes
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.nononoyesno
Secondary indexesyesnoyesno
SQL infoSupport of SQLnonoyes infothrough the embedded Spark runtimeStandard with numerous extensionsno
APIs and other access methodsCLI Client
RESTful HTTP API
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
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
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsyesuser defined functionsno
Triggersyes, with Cloud Functionsnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardinghorizontal partitioning (by range, list and hash) and vertical partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replicationActive-active shard replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoUsing Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutableyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlyesAccess 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-standardfine grained access rights according to SQL-standardno

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More resources
BigchainDBGoogle Cloud FirestoreIBM Db2 Event StoreKingbaseLMDB
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