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DBMS > BigchainDB vs. GeoSpock vs. Google Cloud Bigtable vs. Graphite vs. Microsoft Azure Cosmos DB

System Properties Comparison BigchainDB vs. GeoSpock vs. Google Cloud Bigtable vs. Graphite vs. Microsoft Azure Cosmos DB

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonGeoSpock  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonGraphite  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsSpatial and temporal data processing engine for extreme data scaleGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Data logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperGlobally distributed, horizontally scalable, multi-model database service
Primary database modelDocument storeRelational DBMSWide column storeTime Series DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsTime Series DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.81
Rank#195  Overall
#30  Document stores
Score0.23
Rank#280  Overall
#129  Relational DBMS
Score4.27
Rank#85  Overall
#6  Wide column stores
Score5.63
Rank#70  Overall
#4  Time Series DBMS
Score40.82
Rank#26  Overall
#3  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Websitewww.bigchaindb.comgeospock.comcloud.google.com/­bigtablegithub.com/­graphite-project/­graphite-webazure.microsoft.com/­services/­cosmos-db
Technical documentationbigchaindb.readthedocs.io/­en/­latestdocs.geospock.com/­Content/­Home.htmcloud.google.com/­bigtable/­docsgraphite.readthedocs.iodocs.microsoft.com/­azure/­cosmos-db
DeveloperGeoSpockGoogleChris DavisMicrosoft
Initial release2016201520062014
Current release2.0, September 2019
License infoCommercial or Open SourceOpen Source infoAGPL v3commercialcommercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonJava, JavascriptPython
Server operating systemsLinuxhostedhostedLinux
Unix
hosted
Data schemeschema-freeyesschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyesnoNumeric data onlyyes infoJSON types
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.nononono
Secondary indexestemporal, categoricalnonoyes infoAll properties auto-indexed by default
SQL infoSupport of SQLnoANSI SQL for query only (using Presto)nonoSQL-like query language
APIs and other access methodsCLI Client
RESTful HTTP API
JDBCgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP API
Sockets
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Python
JavaScript (Node.js)
Python
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Server-side scripts infoStored proceduresnononoJavaScript
TriggersnononoJavaScript
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingShardingnoneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorInternal replication in Colossus, and regional replication between two clusters in different zonesnoneyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)noneBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic single-row operationsnoMulti-item ACID transactions with snapshot isolation within a partition
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infolockingyes
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.nono
User concepts infoAccess controlyesAccess rights for users can be defined per tableAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noAccess rights can be defined down to the item level

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More resources
BigchainDBGeoSpockGoogle Cloud BigtableGraphiteMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB
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