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DBMS > Google Cloud Spanner vs. Manticore Search vs. Netezza vs. NSDb

System Properties Comparison Google Cloud Spanner vs. Manticore Search vs. Netezza vs. NSDb

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Editorial information provided by DB-Engines
NameGoogle Cloud Spanner  Xexclude from comparisonManticore Search  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonNSDb  Xexclude from comparison
DescriptionA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.Multi-storage database for search, including full-text search.Data warehouse and analytics appliance part of IBM PureSystemsScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes
Primary database modelRelational DBMSSearch engineRelational DBMSTime Series DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score0.29
Rank#302  Overall
#21  Search engines
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Websitecloud.google.com/­spannermanticoresearch.comwww.ibm.com/­products/­netezzansdb.io
Technical documentationcloud.google.com/­spanner/­docsmanual.manticoresearch.comnsdb.io/­Architecture
DeveloperGoogleManticore SoftwareIBM
Initial release2017201720002017
Current release6.0, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java, Scala
Server operating systemshostedFreeBSD
Linux
macOS
Windows
Linux infoincluded in applianceLinux
macOS
Data schemeyesFixed schemayes
Typing infopredefined data types such as float or dateyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesyes: int, bigint, decimal, string
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.noCan index from XMLno
Secondary indexesyesyes infofull-text index on all search fieldsyesall fields are automatically indexed
SQL infoSupport of SQLyes infoQuery statements complying to ANSI 2011SQL-like query languageyesSQL-like query language
APIs and other access methodsgRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
JDBC
ODBC
OLE DB
gRPC
HTTP REST
WebSocket
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
Java
Scala
Server-side scripts infoStored proceduresnouser defined functionsyesno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication with 3 replicas for regional instances.Synchronous replication based on Galera librarySource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationyes infoisolated transactions for atomic changes and binary logging for safe writesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Manticore index.yesUsing Apache Lucene
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noUsers with fine-grained authorization concept

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More resources
Google Cloud SpannerManticore SearchNetezza infoAlso called PureData System for Analytics by IBMNSDb
Recent citations in the news

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14 October 2023, InfoQ.com

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