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DBMS > Apache Druid vs. BigchainDB vs. Google Cloud Datastore vs. NuoDB vs. searchxml

System Properties Comparison Apache Druid vs. BigchainDB vs. Google Cloud Datastore vs. NuoDB vs. searchxml

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonBigchainDB  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonNuoDB  Xexclude from comparisonsearchxml  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformNuoDB is a webscale distributed database that supports SQL and ACID transactionsDBMS for structured and unstructured content wrapped with an application server
Primary database modelRelational DBMS
Time Series DBMS
Document storeDocument storeRelational DBMSNative XML DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score0.79
Rank#212  Overall
#36  Document stores
Score4.47
Rank#76  Overall
#12  Document stores
Score0.89
Rank#198  Overall
#92  Relational DBMS
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Websitedruid.apache.orgwww.bigchaindb.comcloud.google.com/­datastorewww.3ds.com/­nuodb-distributed-sql-databasewww.searchxml.net/­category/­products
Technical documentationdruid.apache.org/­docs/­latest/­designbigchaindb.readthedocs.io/­en/­latestcloud.google.com/­datastore/­docsdoc.nuodb.comwww.searchxml.net/­support/­handouts
DeveloperApache Software Foundation and contributorsGoogleDassault Systèmes infooriginally NuoDB, Inc.informationpartners gmbh
Initial release20122016200820132015
Current release29.0.1, April 20241.0
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoAGPL v3commercialcommercial infolimited edition freecommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaPythonC++C++
Server operating systemsLinux
OS X
Unix
Linuxhostedhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Windows
Data schemeyes infoschema-less columns are supportedschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnoyes, details hereyesyes
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.nonononoyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL for queryingnoSQL-like query language (GQL)yesno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
CLI Client
RESTful HTTP API
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Go
Haskell
Java
JavaScript
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresnousing Google App EngineJava, SQLyes infoon the application server
TriggersnoCallbacks using the Google Apps Engineyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingShardingdata is dynamically stored/cached on the nodes where it is read/writtennone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesselectable replication factorMulti-source replication using Paxosyes infoManaged transparently by NuoDByes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate 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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes infovia ReferenceProperties or Ancestor pathsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACID infotunable commit protocolmultiple readers, single writer
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCCyes
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.nonoyes infoTemporary tableno
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemyesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Standard SQL roles/ privileges, Administrative UsersDomain, group and role-based access control at the document level and for application services

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More resources
Apache DruidBigchainDBGoogle Cloud DatastoreNuoDBsearchxml
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