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DBMS > atoti vs. Dragonfly vs. Galaxybase vs. Google Cloud Datastore vs. searchxml

System Properties Comparison atoti vs. Dragonfly vs. Galaxybase vs. Google Cloud Datastore vs. searchxml

Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonDragonfly  Xexclude from comparisonGalaxybase  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonsearchxml  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.A drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceScalable, ACID-compliant native distributed parallel graph platformAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformDBMS for structured and unstructured content wrapped with an application server
Primary database modelObject oriented DBMSKey-value storeGraph DBMSDocument storeNative XML DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#243  Overall
#10  Object oriented DBMS
Score0.49
Rank#261  Overall
#38  Key-value stores
Score0.07
Rank#377  Overall
#40  Graph DBMS
Score4.36
Rank#72  Overall
#12  Document stores
Score0.03
Rank#390  Overall
#7  Native XML DBMS
#24  Search engines
Websiteatoti.iogithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
galaxybase.comcloud.google.com/­datastorewww.searchxml.net/­category/­products
Technical documentationdocs.atoti.iowww.dragonflydb.io/­docscloud.google.com/­datastore/­docswww.searchxml.net/­support/­handouts
DeveloperActiveViamDragonflyDB team and community contributorsChuanglin(Createlink) Technology Co., Ltd 浙江创邻科技有限公司Googleinformationpartners gmbh
Initial release2023201720082015
Current release1.0, March 2023Nov 20, November 20211.0
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoBSL 1.1commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C and JavaC++
Server operating systemsLinuxLinuxhostedWindows
Data schemescheme-freeStrong typed schemaschema-freeschema-free
Typing infopredefined data types such as float or datestrings, hashes, lists, sets, sorted sets, bit arraysyesyes, details hereyes
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.nononoyes
Secondary indexesnoyesyesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)nonoSQL-like query language (GQL)no
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocolBrowser interface
console (shell)
Graph API (Gremlin)
OpenCypher
Proprietary native API
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesC
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
Go
Java
Python
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresPythonLuauser defined procedures and functionsusing Google App Engineyes infoon the application server
Triggerspublish/subscribe channels provide some trigger functionalityCallbacks using the Google Apps Engineno
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication using Paxosyes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate 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.Immediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsyes infovia ReferenceProperties or Ancestor pathsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scriptsACIDACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsmultiple readers, single writer
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yes, strict serializability by the serveryesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesnono
User concepts infoAccess controlPassword-based authenticationRole-based access controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Domain, group and role-based access control at the document level and for application services

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More resources
atotiDragonflyGalaxybaseGoogle Cloud Datastoresearchxml
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