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DBMS > BigchainDB vs. Geode vs. Google Cloud Bigtable vs. WakandaDB vs. YTsaurus

System Properties Comparison BigchainDB vs. Geode vs. Google Cloud Bigtable vs. WakandaDB vs. YTsaurus

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonGeode  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonWakandaDB  Xexclude from comparisonYTsaurus  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.WakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access dataYTsaurus is an open source platform for distributed storage and processing.
Primary database modelDocument storeKey-value storeKey-value store
Wide column store
Object oriented DBMSDocument store
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#208  Overall
#35  Document stores
Score1.86
Rank#134  Overall
#24  Key-value stores
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Score0.21
Rank#324  Overall
#45  Document stores
#48  Key-value stores
Websitewww.bigchaindb.comgeode.apache.orgcloud.google.com/­bigtablewakanda.github.ioytsaurus.tech
Technical documentationbigchaindb.readthedocs.io/­en/­latestgeode.apache.org/­docscloud.google.com/­bigtable/­docswakanda.github.io/­docytsaurus.tech/­docs/­en
DeveloperOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.GoogleWakanda SASYandex
Initial release20162002201520122023
Current release1.1, February 20172.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infoApache Version 2; commercial licenses available as GemfirecommercialOpen Source infoAGPLv3, extended commercial license availableOpen Source infoApache License, Version 2.0
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 languagePythonJavaC++, JavaScriptC++
Server operating systemsLinuxAll OS with a Java VM infothe JDK (8 or later) is also requiredhostedLinux
OS X
Windows
Ubuntu
Data schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenoyesnoyesyes
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.nonononono
Secondary indexesnono
SQL infoSupport of SQLnoSQL-like query language (OQL)nonoYQL, an SQL-based language, is supported
APIs and other access methodsCLI Client
RESTful HTTP API
Java Client API
Memcached protocol
RESTful HTTP API
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
RESTful HTTP API
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
.Net
All JVM based languages
C++
Groovy
Java
Scala
C#
C++
Go
Java
JavaScript (Node.js)
Python
JavaScriptC++
Go
Java
JavaScript
Python
Server-side scripts infoStored proceduresuser defined functionsnoyes
Triggersyes infoCache Event Listenersnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replicationInternal replication in Colossus, and regional replication between two clusters in different zonesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes, on a single nodeAtomic single-row operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesnono
User concepts infoAccess controlyesAccess rights per client and object definableAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yesAccess Control Lists

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More resources
BigchainDBGeodeGoogle Cloud BigtableWakandaDBYTsaurus
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