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DBMS > InfinityDB vs. Informix vs. Lovefield vs. Oracle Berkeley DB

System Properties Comparison InfinityDB vs. Informix vs. Lovefield vs. Oracle Berkeley DB

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Editorial information provided by DB-Engines
NameInfinityDB  Xexclude from comparisonInformix  Xexclude from comparisonLovefield  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
DescriptionA Java embedded Key-Value Store which extends the Java Map interfaceA secure embeddable database from IBM, positioned besides IBM Db2 as a relatively low-cost product optimized for OLTP and Internet of Things dataEmbeddable relational database for web apps written in pure JavaScriptWidely used in-process key-value store
Primary database modelKey-value storeRelational DBMS infoSince Version 12.10 support for JSON/BSON datatypes compatible with MongoDBRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS infowith Informix TimeSeries Extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#378  Overall
#57  Key-value stores
Score17.87
Rank#35  Overall
#22  Relational DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Websiteboilerbay.comwww.ibm.com/­products/­informixgoogle.github.io/­lovefieldwww.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationboilerbay.com/­infinitydb/­manualinformix.hcldoc.com
www.ibm.com/­support/­knowledgecenter/­SSGU8G/­welcomeIfxServers.html
github.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperBoiler Bay Inc.IBM, HCL Technologies infoEffective May 1st, 2017, HCL took on development, technical support, and product management teams, and works jointly with IBM on product strategy, marketing, and sales.GoogleOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release2002198420141994
Current release4.014.10.FC5, November 20202.1.12, February 201718.1.40, May 2020
License infoCommercial or Open Sourcecommercialcommercial infofree developer edition availableOpen Source infoApache 2.0Open Source infocommercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++ and JavaJavaScriptC, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsAll OS with a Java VMAIX
HP-UX
Linux
macOS
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyesyesschema-free
Typing infopredefined data types such as float or dateyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyes infoSince Version 12.10 support for JSON/BSON datatypesyesno
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.nonoyes infoonly with the Berkeley DB XML edition
Secondary indexesno infomanual creation possible, using inversions based on multi-value capabilityyesyesyes
SQL infoSupport of SQLnoyesSQL-like query language infovia JavaScript builder patternyes infoSQL interfaced based on SQLite is available
APIs and other access methodsAccess via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
JDBC
JSON API infoMongoDB compatible
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
Supported programming languagesJava.Net
C
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScript.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 proceduresnoyesnono
TriggersnoyesUsing read-only observersyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
noneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate Consistency
Foreign keys infoReferential integrityno infomanual creation possible, using inversions based on multi-value capabilityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoOptimistic locking for transactions; no isolation for bulk loadsACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infousing MemoryDByes
User concepts infoAccess controlnoUsers with fine-grained authentication, authorization, and auditing controlsnono

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InfinityDBInformixLovefieldOracle Berkeley DB
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