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DBMS > Google Cloud Bigtable vs. Machbase Neo vs. Milvus vs. SpatiaLite

System Properties Comparison Google Cloud Bigtable vs. Machbase Neo vs. Milvus vs. SpatiaLite

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonMilvus  Xexclude from comparisonSpatiaLite  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.TimeSeries DBMS for AIoT and BigDataA DBMS designed for efficient storage of vector data and vector similarity searchesSpatial extension of SQLite
Primary database modelKey-value store
Wide column store
Time Series DBMSVector DBMSSpatial DBMS
Secondary database modelsRelational DBMS
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
Score0.12
Rank#339  Overall
#30  Time Series DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score1.60
Rank#149  Overall
#3  Spatial DBMS
Websitecloud.google.com/­bigtablemachbase.commilvus.iowww.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentationcloud.google.com/­bigtable/­docsmachbase.com/­dbmsmilvus.io/­docs/­overview.mdwww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
DeveloperGoogleMachbaseAlessandro Furieri
Initial release2015201320192008
Current releaseV8.0, August 20232.3.4, January 20245.0.0, August 2020
License infoCommercial or Open Sourcecommercialcommercial infofree test version availableOpen Source infoApache Version 2.0Open Source infoMPL 1.1, GPL v2.0 or LGPL v2.1
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Zilliz Cloud – Cloud-native service for Milvus
Implementation languageCC++, GoC++
Server operating systemshostedLinux
macOS
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
server-less
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesVector, Numeric and Stringyes
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.nononono
Secondary indexesnoyesnoyes
SQL infoSupport of SQLnoSQL-like query languagenoyes
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
gRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnononono
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Bounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesnoyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infovolatile and lookup tableyesyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)simple password-based access controlRole based access control and fine grained access rightsno
More information provided by the system vendor
Google Cloud BigtableMachbase Neo infoFormer name was InfinifluxMilvusSpatiaLite
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
» more
Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more

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More resources
Google Cloud BigtableMachbase Neo infoFormer name was InfinifluxMilvusSpatiaLite
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