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DBMS > atoti vs. Google Cloud Datastore vs. Milvus vs. searchxml vs. TinkerGraph

System Properties Comparison atoti vs. Google Cloud Datastore vs. Milvus vs. searchxml vs. TinkerGraph

Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonMilvus  Xexclude from comparisonsearchxml  Xexclude from comparisonTinkerGraph  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA DBMS designed for efficient storage of vector data and vector similarity searchesDBMS for structured and unstructured content wrapped with an application serverA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelObject oriented DBMSDocument storeVector DBMSNative XML DBMS
Search engine
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#243  Overall
#10  Object oriented DBMS
Score4.36
Rank#72  Overall
#12  Document stores
Score2.78
Rank#103  Overall
#4  Vector DBMS
Score0.03
Rank#390  Overall
#7  Native XML DBMS
#24  Search engines
Score0.13
Rank#345  Overall
#35  Graph DBMS
Websiteatoti.iocloud.google.com/­datastoremilvus.iowww.searchxml.net/­category/­productstinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationdocs.atoti.iocloud.google.com/­datastore/­docsmilvus.io/­docs/­overview.mdwww.searchxml.net/­support/­handouts
DeveloperActiveViamGoogleinformationpartners gmbh
Initial release2008201920152009
Current release2.4.4, May 20241.0
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
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 languageJavaC++, GoC++Java
Server operating systemshostedLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Windows
Data schemeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyes, details hereVector, Numeric and Stringyesyes
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.nonoyesno
Secondary indexesyesnoyesno
SQL infoSupport of SQLMultidimensional Expressions (MDX)SQL-like query language (GQL)nonono
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
RESTful HTTP APIRESTful HTTP API
WebDAV
XQuery
XSLT
TinkerPop 3
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Go
Java
JavaScript (Node.js)
Python
C++ infomost other programming languages supported via APIsGroovy
Java
Server-side scripts infoStored proceduresPythonusing Google App Enginenoyes infoon the application serverno
TriggersCallbacks using the Google Apps Enginenonono
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosyes infosychronisation to multiple collectionsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate 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.Bounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistencynone
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsnonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsnomultiple readers, single writerno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyesno
Durability infoSupport for making data persistentyesyesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesnoyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Role based access control and fine grained access rightsDomain, group and role-based access control at the document level and for application servicesno
More information provided by the system vendor
atotiGoogle Cloud DatastoreMilvussearchxmlTinkerGraph
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
atotiGoogle Cloud DatastoreMilvussearchxmlTinkerGraph
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