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DBMS > BigchainDB vs. Ignite vs. Microsoft Azure Table Storage vs. Oracle Berkeley DB vs. Realm

System Properties Comparison BigchainDB vs. Ignite vs. Microsoft Azure Table Storage vs. Oracle Berkeley DB vs. Realm

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonIgnite  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonRealm  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.A Wide Column Store for rapid development using massive semi-structured datasetsWidely used in-process key-value storeA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelDocument storeKey-value store
Relational DBMS
Wide column storeKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#208  Overall
#35  Document stores
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score4.04
Rank#77  Overall
#6  Wide column stores
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Score7.41
Rank#52  Overall
#8  Document stores
Websitewww.bigchaindb.comignite.apache.orgazure.microsoft.com/­en-us/­services/­storage/­tableswww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlrealm.io
Technical documentationbigchaindb.readthedocs.io/­en/­latestapacheignite.readme.io/­docsdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlrealm.io/­docs
DeveloperApache Software FoundationMicrosoftOracle infooriginally developed by Sleepycat, which was acquired by OracleRealm, acquired by MongoDB in May 2019
Initial release20162015201219942014
Current releaseApache Ignite 2.618.1.40, May 2020
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infoApache 2.0commercialOpen Source infocommercial license availableOpen Source
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonC++, Java, .NetC, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsLinuxLinux
OS X
Solaris
Windows
hostedAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Android
Backend: server-less
iOS
Windows
Data schemeschema-freeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or datenoyesyesnoyes
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.noyesnoyes infoonly with the Berkeley DB XML editionno
Secondary indexesyesnoyesyes
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLnoyes infoSQL interfaced based on SQLite is availableno
APIs and other access methodsCLI Client
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
RESTful HTTP API
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)nonono inforuns within the applications so server-side scripts are unnecessary
Triggersyes (cache interceptors and events)noyes infoonly for the SQL APIyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoImplicit feature of the cloud servicenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes (replicated cache)yes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic lockingACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes infoIn-Memory realm
User concepts infoAccess controlyesSecurity Hooks for custom implementationsAccess rights based on private key authentication or shared access signaturesnoyes

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More resources
BigchainDBIgniteMicrosoft Azure Table StorageOracle Berkeley DBRealm
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