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DBMS > Bangdb vs. Derby vs. Firebase Realtime Database vs. Microsoft Azure Synapse Analytics vs. Redis

System Properties Comparison Bangdb vs. Derby vs. Firebase Realtime Database vs. Microsoft Azure Synapse Analytics vs. Redis

Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDB  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonRedis  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerPopular in-memory data platform used as a cache, message broker, and database that can be deployed on-premises, across clouds, and hybrid environments infoRedis focuses on performance so most of its design decisions prioritize high performance and very low latencies.
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Relational DBMSDocument storeRelational DBMSKey-value store infoMultiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistence
Secondary database modelsSpatial DBMSDocument store infowith RedisJSON
Graph DBMS infowith RedisGraph
Spatial DBMS
Search engine infowith RediSearch
Time Series DBMS infowith RedisTimeSeries
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score4.60
Rank#70  Overall
#38  Relational DBMS
Score13.64
Rank#39  Overall
#6  Document stores
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score155.94
Rank#6  Overall
#1  Key-value stores
Websitebangdb.comdb.apache.org/­derbyfirebase.google.com/­products/­realtime-databaseazure.microsoft.com/­services/­synapse-analyticsredis.com
redis.io
Technical documentationdocs.bangdb.comdb.apache.org/­derby/­manuals/­index.htmlfirebase.google.com/­docs/­databasedocs.microsoft.com/­azure/­synapse-analyticsdocs.redis.com/­latest/­index.html
redis.io/­docs
DeveloperSachin Sinha, BangDBApache Software FoundationGoogle infoacquired by Google 2014MicrosoftRedis project core team, inspired by Salvatore Sanfilippo infoDevelopment sponsored by Redis Inc.
Initial release20121997201220162009
Current releaseBangDB 2.0, October 202110.17.1.0, November 20237.2.5, May 2024
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoApache version 2commercialcommercialOpen Source infosource-available extensions (modules), commercial licenses for Redis Enterprise
Cloud-based only infoOnly available as a cloud servicenonoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Aiven for Redis: Fully managed in-memory key-value store for all your caching and speedy lookup needs.
Implementation languageC, C++JavaC++C
Server operating systemsLinuxAll OS with a Java VMhostedhostedBSD
Linux
OS X
Windows infoported and maintained by Microsoft Open Technologies, Inc.
Data schemeschema-freeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyesyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes
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.noyesnonono
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesyesyesyes infowith RediSearch module
SQL infoSupport of SQLSQL like support with command line toolyesnoyeswith RediSQL module
APIs and other access methodsProprietary protocol
RESTful HTTP API
JDBCAndroid
iOS
JavaScript API
RESTful HTTP API
ADO.NET
JDBC
ODBC
proprietary protocol infoRESP - REdis Serialization Protocol
Supported programming languagesC
C#
C++
Java
Python
JavaJava
JavaScript
Objective-C
C#
Java
PHP
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
Server-side scripts infoStored proceduresnoJava Stored Procedureslimited functionality with using 'rules'Transact SQLLua; Redis Functions coming in Redis 7 (slides and Github)
Triggersyes, Notifications (with Streaming only)yesCallbacks are triggered when data changesnopublish/subscribe channels provide some trigger functionality; RedisGears
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmnoneSharding, horizontal partitioningSharding infoAutomatic hash-based sharding with support for hash-tags for manual sharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Source-replica replicationyesMulti-source replication infowith Redis Enterprise Pack
Source-replica replication infoChained replication is supported
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononothrough RedisGears
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate ConsistencyEventual Consistency
Causal consistency can be enabled in Active-Active databases
Strong consistency with Redis Raft
Strong eventual consistency with Active-Active
Foreign keys infoReferential integritynoyesnono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyesACIDAtomic execution of command blocks and scripts and optimistic locking
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logs
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, run db with in-memory only modeyesyes
User concepts infoAccess controlyes (enterprise version only)fine grained access rights according to SQL-standardyes, based on authentication and database rulesyesAccess Control Lists (ACLs): redis.io/­docs/­management/­security/­acl
LDAP and Role-Based Access Control (RBAC) for Redis Enterprise
Mutual TLS authentication: redis.io/­docs/­management/­security/­encryption
Password-based authentication

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More resources
BangdbDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDBFirebase Realtime DatabaseMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseRedis
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