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DBMS > Apache Phoenix vs. Axibase vs. BigchainDB vs. Google Cloud Datastore vs. TimesTen

System Properties Comparison Apache Phoenix vs. Axibase vs. BigchainDB vs. Google Cloud Datastore vs. TimesTen

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonAxibase  Xexclude from comparisonBigchainDB  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformIn-Memory RDBMS compatible to Oracle
Primary database modelRelational DBMSTime Series DBMSDocument storeDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score0.29
Rank#292  Overall
#25  Time Series DBMS
Score0.79
Rank#212  Overall
#36  Document stores
Score4.47
Rank#76  Overall
#12  Document stores
Score1.31
Rank#163  Overall
#74  Relational DBMS
Websitephoenix.apache.orgaxibase.com/­docs/­atsd/­financewww.bigchaindb.comcloud.google.com/­datastorewww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationphoenix.apache.orgbigchaindb.readthedocs.io/­en/­latestcloud.google.com/­datastore/­docsdocs.oracle.com/­database/­timesten-18.1
DeveloperApache Software FoundationAxibase CorporationGoogleOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20142013201620081998
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20191558511 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidOpen Source infoAGPL v3commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaPython
Server operating systemsLinux
Unix
Windows
LinuxLinuxhostedAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyes infoshort, integer, long, float, double, decimal, stringnoyes, details hereyes
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 indexesyesnoyesyes
SQL infoSupport of SQLyesSQL-like query languagenoSQL-like query language (GQL)yes
APIs and other access methodsJDBCJDBC
Proprietary protocol (Network API)
RESTful HTTP API
CLI Client
RESTful HTTP API
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Go
Java
PHP
Python
R
Ruby
Go
Haskell
Java
JavaScript
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresuser defined functionsyesusing Google App EnginePL/SQL
TriggersnoyesCallbacks using the Google Apps Engineno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationselectable replication factorMulti-source replication using PaxosMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationyesnoyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononoyes infovia ReferenceProperties or Ancestor pathsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes,with MongoDB ord RethinkDByesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyyesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standard

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More resources
Apache PhoenixAxibaseBigchainDBGoogle Cloud DatastoreTimesTen
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