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DBMS > atoti vs. Bangdb vs. Google Cloud Datastore vs. Pinecone vs. searchxml

System Properties Comparison atoti vs. Bangdb vs. Google Cloud Datastore vs. Pinecone vs. searchxml

Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonBangdb  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonPinecone  Xexclude from comparisonsearchxml  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Converged and high performance database for device data, events, time series, document and graphAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA managed, cloud-native vector databaseDBMS for structured and unstructured content wrapped with an application server
Primary database modelObject oriented DBMSDocument store
Graph DBMS
Time Series DBMS
Document storeVector DBMSNative XML DBMS
Search engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#243  Overall
#10  Object oriented DBMS
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score4.36
Rank#72  Overall
#12  Document stores
Score3.23
Rank#92  Overall
#3  Vector DBMS
Score0.03
Rank#390  Overall
#7  Native XML DBMS
#24  Search engines
Websiteatoti.iobangdb.comcloud.google.com/­datastorewww.pinecone.iowww.searchxml.net/­category/­products
Technical documentationdocs.atoti.iodocs.bangdb.comcloud.google.com/­datastore/­docsdocs.pinecone.io/­docs/­overviewwww.searchxml.net/­support/­handouts
DeveloperActiveViamSachin Sinha, BangDBGooglePinecone Systems, Incinformationpartners gmbh
Initial release2012200820192015
Current releaseBangDB 2.0, October 20211.0
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoBSD 3commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, C++C++
Server operating systemsLinuxhostedhostedWindows
Data schemeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyes, details hereString, Number, Booleanyes
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 indexesyes infosecondary, composite, nested, reverse, geospatialyesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)SQL like support with command line toolSQL-like query language (GQL)nono
APIs and other access methodsProprietary protocol
RESTful HTTP API
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
RESTful HTTP APIRESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesC
C#
C++
Java
Python
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
PythonC++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresPythonnousing Google App Engineyes infoon the application server
Triggersyes, Notifications (with Streaming only)Callbacks using the Google Apps Engineno
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Multi-source replication using Paxosyes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate 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 infovia ReferenceProperties or Ancestor pathsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID 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, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes, run db with in-memory only modenonono
User concepts infoAccess controlyes (enterprise version only)Access 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
atotiBangdbGoogle Cloud DatastorePineconesearchxml
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