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

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

Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonBigchainDB  Xexclude from comparisonGeode  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphBigchainDB 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 data
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Document storeKey-value storeKey-value store
Wide column store
Object oriented DBMS
Secondary database modelsSpatial 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
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
Websitebangdb.comwww.bigchaindb.comgeode.apache.orgcloud.google.com/­bigtablewakanda.github.io
Technical documentationdocs.bangdb.combigchaindb.readthedocs.io/­en/­latestgeode.apache.org/­docscloud.google.com/­bigtable/­docswakanda.github.io/­doc
DeveloperSachin Sinha, BangDBOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.GoogleWakanda SAS
Initial release20122016200220152012
Current releaseBangDB 2.0, October 20211.1, February 20172.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoAGPL v3Open Source infoApache Version 2; commercial licenses available as GemfirecommercialOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++PythonJavaC++, JavaScript
Server operating systemsLinuxLinuxAll OS with a Java VM infothe JDK (8 or later) is also requiredhostedLinux
OS X
Windows
Data schemeschema-freeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsnoyesnoyes
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 indexesyes infosecondary, composite, nested, reverse, geospatialnono
SQL infoSupport of SQLSQL like support with command line toolnoSQL-like query language (OQL)nono
APIs and other access methodsProprietary protocol
RESTful HTTP API
CLI 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 languagesC
C#
C++
Java
Python
Go
Haskell
Java
JavaScript
Python
Ruby
.Net
All JVM based languages
C++
Groovy
Java
Scala
C#
C++
Go
Java
JavaScript (Node.js)
Python
JavaScript
Server-side scripts infoStored proceduresnouser defined functionsnoyes
Triggersyes, Notifications (with Streaming only)yes infoCache Event Listenersnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)selectable replication factorMulti-source replicationInternal replication in Colossus, and regional replication between two clusters in different zonesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyEventual ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes, on a single nodeAtomic single-row operationsACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyes,with MongoDB ord RethinkDByesyesyes
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 modeyesnono
User concepts infoAccess controlyes (enterprise version only)yesAccess rights per client and object definableAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yes

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More resources
BangdbBigchainDBGeodeGoogle Cloud BigtableWakandaDB
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