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DBMS > Apache Phoenix vs. BigchainDB vs. Blazegraph vs. Google Cloud Bigtable vs. OpenTSDB

System Properties Comparison Apache Phoenix vs. BigchainDB vs. Blazegraph vs. Google Cloud Bigtable vs. OpenTSDB

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonBigchainDB  Xexclude from comparisonBlazegraph  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonOpenTSDB  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Scalable Time Series DBMS based on HBase
Primary database modelRelational DBMSDocument storeGraph DBMS
RDF store
Key-value store
Wide column store
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score0.79
Rank#212  Overall
#36  Document stores
Score0.75
Rank#219  Overall
#19  Graph DBMS
#8  RDF stores
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score1.68
Rank#146  Overall
#12  Time Series DBMS
Websitephoenix.apache.orgwww.bigchaindb.comblazegraph.comcloud.google.com/­bigtableopentsdb.net
Technical documentationphoenix.apache.orgbigchaindb.readthedocs.io/­en/­latestwiki.blazegraph.comcloud.google.com/­bigtable/­docsopentsdb.net/­docs/­build/­html/­index.html
DeveloperApache Software FoundationBlazegraphGooglecurrently maintained by Yahoo and other contributors
Initial release20142016200620152011
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20192.1.5, March 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoAGPL v3Open Source infoextended commercial license availablecommercialOpen Source infoLGPL
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaPythonJavaJava
Server operating systemsLinux
Unix
Windows
LinuxLinux
OS X
Windows
hostedLinux
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyes infoRDF literal typesnonumeric data for metrics, strings for tags
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 indexesyesyesnono
SQL infoSupport of SQLyesnoSPARQL is used as query languagenono
APIs and other access methodsJDBCCLI Client
RESTful HTTP API
Java API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP API
Telnet API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Go
Haskell
Java
JavaScript
Python
Ruby
.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Python
Erlang
Go
Java
Python
R
Ruby
Server-side scripts infoStored proceduresuser defined functionsyesnono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factoryesInternal replication in Colossus, and regional replication between two clusters in different zonesselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency infobased on HBase
Foreign keys infoReferential integritynonoyes infoRelationships in Graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic single-row operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyyesSecurity and Authentication via Web Application Container (Tomcat, Jetty)Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)no

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More resources
Apache PhoenixBigchainDBBlazegraphGoogle Cloud BigtableOpenTSDB
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