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DBMS > GigaSpaces vs. HEAVY.AI vs. MongoDB vs. Oracle Berkeley DB

System Properties Comparison GigaSpaces vs. HEAVY.AI vs. MongoDB vs. Oracle Berkeley DB

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Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonMongoDB  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
DescriptionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureWidely used in-process key-value store
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Relational DBMSDocument storeKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Secondary database modelsGraph DBMS
Search engine
Spatial DBMSSpatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS infoTime Series Collections introduced in Release 5.0
Vector DBMS infocurrently available in the MongoDB Atlas cloud service only
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.05
Rank#191  Overall
#31  Document stores
#6  Object oriented DBMS
Score2.30
Rank#127  Overall
#60  Relational DBMS
Score424.53
Rank#5  Overall
#1  Document stores
Score2.80
Rank#112  Overall
#20  Key-value stores
#3  Native XML DBMS
Websitewww.gigaspaces.comgithub.com/­heavyai/­heavydb
www.heavy.ai
www.mongodb.comwww.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmldocs.heavy.aiwww.mongodb.com/­docs/­manualdocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperGigaspaces TechnologiesHEAVY.AI, Inc.MongoDB, IncOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release2000201620091994
Current release15.5, September 20205.10, January 20226.0.7, June 202318.1.40, May 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoApache Version 2; enterprise edition availableOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.Open Source infocommercial license available
Cloud-based only infoOnly available as a cloud servicenonono infoMongoDB available as DBaaS (MongoDB Atlas)no
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetC++ and CUDAC++C, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsLinux
macOS
Solaris
Windows
LinuxLinux
OS X
Solaris
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeschema-freeyesschema-free infoAlthough schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema.schema-free
Typing infopredefined data types such as float or dateyesyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatialno
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.no infoXML can be used for describing objects metadatanoyes infoonly with the Berkeley DB XML edition
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSQL-99 for query and DML statementsyesRead-only SQL queries via the MongoDB Atlas SQL Interfaceyes infoSQL interfaced based on SQLite is available
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
ODBC
Thrift
Vega
GraphQL
HTTP REST
Prisma
proprietary protocol using JSON
Supported programming languages.Net
C++
Java
Python
Scala
All languages supporting JDBC/ODBC/Thrift
Python
Actionscript infounofficial driver
C
C#
C++
Clojure infounofficial driver
ColdFusion infounofficial driver
D infounofficial driver
Dart infounofficial driver
Delphi infounofficial driver
Erlang
Go
Groovy infounofficial driver
Haskell
Java
JavaScript
Kotlin
Lisp infounofficial driver
Lua infounofficial driver
MatLab infounofficial driver
Perl
PHP
PowerShell infounofficial driver
Prolog infounofficial driver
Python
R infounofficial driver
Ruby
Rust
Scala
Smalltalk infounofficial driver
Swift
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
Server-side scripts infoStored proceduresyesnoJavaScriptno
Triggersyes, event driven architecturenoyes infoin MongoDB Atlas onlyyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoRound robinSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.none
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Multi-source replicationMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyEventual Consistency infocan be individually decided for each read operation
Immediate Consistency infodefault behaviour
Foreign keys infoReferential integritynonono infotypically not used, however similar functionality with DBRef possibleno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoMulti-document ACID Transactions with snapshot isolationACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infooptional, enabled by defaultyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoIn-memory storage engine introduced with MongoDB version 3.2yes
User concepts infoAccess controlRole-based access controlfine grained access rights according to SQL-standardAccess rights for users and rolesno
More information provided by the system vendor
GigaSpacesHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022MongoDBOracle Berkeley DB
Specific characteristicsMongoDB provides an integrated suite of cloud database and data services to accelerate...
» more
Competitive advantagesBuilt around the flexible document data model and unified API, MongoDB is a developer...
» more
Typical application scenariosAI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metricsHundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month...
» more
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more

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More resources
GigaSpacesHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022MongoDBOracle Berkeley DB
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