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DBMS > Google Cloud Bigtable vs. NuoDB vs. Quasardb vs. Sphinx

System Properties Comparison Google Cloud Bigtable vs. NuoDB vs. Quasardb vs. Sphinx

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonNuoDB  Xexclude from comparisonQuasardb  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.NuoDB is a webscale distributed database that supports SQL and ACID transactionsDistributed, high-performance timeseries databaseOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelKey-value store
Wide column store
Relational DBMSTime Series DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score0.94
Rank#197  Overall
#92  Relational DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websitecloud.google.com/­bigtablewww.3ds.com/­nuodb-distributed-sql-databasequasar.aisphinxsearch.com
Technical documentationcloud.google.com/­bigtable/­docsdoc.nuodb.comdoc.quasar.ai/­mastersphinxsearch.com/­docs
DeveloperGoogleDassault Systèmes infooriginally NuoDB, Inc.quasardbSphinx Technologies Inc.
Initial release2015201320092001
Current release3.14.1, January 20243.5.1, February 2023
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++C++
Server operating systemshostedhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
BSD
Linux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or datenoyesyes infointeger and binaryno
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.nonono
Secondary indexesnoyesyes infowith tagsyes infofull-text index on all search fields
SQL infoSupport of SQLnoyesSQL-like query languageSQL-like query language (SphinxQL)
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
ADO.NET
JDBC
ODBC
HTTP APIProprietary protocol
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnoJava, SQLnono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingdata is dynamically stored/cached on the nodes where it is read/writtenSharding infoconsistent hashingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesyes infoManaged transparently by NuoDBSource-replica replication with selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACID infotunable commit protocolACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTemporary tableyes infoTransient mode
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Standard SQL roles/ privileges, Administrative UsersCryptographically strong user authentication and audit trailno

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Google Cloud BigtableNuoDBQuasardbSphinx
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