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DBMS > Databend vs. Firebase Realtime Database vs. GigaSpaces vs. Hypertable vs. Immudb

System Properties Comparison Databend vs. Firebase Realtime Database vs. GigaSpaces vs. Hypertable vs. Immudb

Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonGigaSpaces  Xexclude from comparisonHypertable  Xexclude from comparisonImmudb  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsAn open source BigTable implementation based on distributed file systems such as HadoopAn open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.
Primary database modelRelational DBMSDocument storeDocument store
Object oriented DBMS infoValues are user defined objects
Wide column storeKey-value store
Secondary database modelsGraph DBMS
Search engine
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.30
Rank#287  Overall
#130  Relational DBMS
Score14.29
Rank#39  Overall
#6  Document stores
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.24
Rank#305  Overall
#43  Key-value stores
Websitegithub.com/­datafuselabs/­databend
www.databend.com
firebase.google.com/­products/­realtime-databasewww.gigaspaces.comgithub.com/­codenotary/­immudb
immudb.io
Technical documentationdocs.databend.comfirebase.google.com/­docs/­databasedocs.gigaspaces.com/­latest/­landing.htmldocs.immudb.io
DeveloperDatabend LabsGoogle infoacquired by Google 2014Gigaspaces TechnologiesHypertable Inc.Codenotary
Initial release20212012200020092020
Current release1.0.59, April 202315.5, September 20200.9.8.11, March 20161.2.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoGNU version 3. Commercial license availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustJava, C++, .NetC++Go
Server operating systemshosted
Linux
macOS
hostedLinux
macOS
Solaris
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
BSD
Linux
macOS
Solaris
Windows
z/OS
Data schemeyesschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.nonono infoXML can be used for describing objects metadatano
Secondary indexesnoyesyesrestricted infoonly exact value or prefix value scansyes
SQL infoSupport of SQLyesnoSQL-99 for query and DML statementsnoSQL-like syntax
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
Android
iOS
JavaScript API
RESTful HTTP API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
C++ API
Thrift
gRPC protocol
PostgreSQL wire protocol
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
Java
JavaScript
Objective-C
.Net
C++
Java
Python
Scala
C++
Java
Perl
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnolimited functionality with using 'rules'yesnono
TriggersnoCallbacks are triggered when data changesyes, event driven architecturenono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
selectable replication factor on file system level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoMap-Reduce pattern can be built with XAP task executorsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesyesACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesyes, based on authentication and database rulesRole-based access controlno

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More resources
DatabendFirebase Realtime DatabaseGigaSpacesHypertableImmudb
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