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DBMS > Google Cloud Bigtable vs. Netezza vs. Pinecone vs. XTDB

System Properties Comparison Google Cloud Bigtable vs. Netezza vs. Pinecone vs. XTDB

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonPinecone  Xexclude from comparisonXTDB infoformerly named Crux  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.Data warehouse and analytics appliance part of IBM PureSystemsA managed, cloud-native vector databaseA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelKey-value store
Wide column store
Relational DBMSVector DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score3.16
Rank#95  Overall
#2  Vector DBMS
Score0.11
Rank#343  Overall
#46  Document stores
Websitecloud.google.com/­bigtablewww.ibm.com/­products/­netezzawww.pinecone.iogithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationcloud.google.com/­bigtable/­docsdocs.pinecone.io/­docs/­overviewwww.xtdb.com/­docs
DeveloperGoogleIBMPinecone Systems, IncJuxt Ltd.
Initial release2015200020192019
Current release1.19, September 2021
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageClojure
Server operating systemshostedLinux infoincluded in appliancehostedAll OS with a Java 8 (and higher) VM
Linux
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyesString, Number, Booleanyes, extensible-data-notation format
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
SQL infoSupport of SQLnoyesnolimited SQL, making use of Apache Calcite
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
ODBC
OLE DB
RESTful HTTP APIHTTP REST
JDBC
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
PythonClojure
Java
Server-side scripts infoStored proceduresnoyesno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesSource-replica replicationyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Users with fine-grained authorization concept

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More resources
Google Cloud BigtableNetezza infoAlso called PureData System for Analytics by IBMPineconeXTDB infoformerly named Crux
DB-Engines blog posts

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