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DBMS > GridGain vs. Lovefield vs. OpenTSDB vs. Oracle Berkeley DB

System Properties Comparison GridGain vs. Lovefield vs. OpenTSDB vs. Oracle Berkeley DB

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonLovefield  Xexclude from comparisonOpenTSDB  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteEmbeddable relational database for web apps written in pure JavaScriptScalable Time Series DBMS based on HBaseWidely used in-process key-value store
Primary database modelColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMSTime Series DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score0.22
Rank#306  Overall
#138  Relational DBMS
Score1.59
Rank#140  Overall
#12  Time Series DBMS
Score1.88
Rank#130  Overall
#23  Key-value stores
#3  Native XML DBMS
Websitewww.gridgain.comgoogle.github.io/­lovefieldopentsdb.netwww.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationwww.gridgain.com/­docs/­index.htmlgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdopentsdb.net/­docs/­build/­html/­index.htmldocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperGridGain Systems, Inc.Googlecurrently maintained by Yahoo and other contributorsOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release2007201420111994
Current releaseGridGain 8.5.12.1.12, February 201718.1.40, May 2020
License infoCommercial or Open Sourcecommercial, open sourceOpen Source infoApache 2.0Open Source infoLGPLOpen 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 languageJava, C++, .Net, Python, REST, SQLJavaScriptJavaC, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsLinux
OS X
Solaris
Windows
z/OS
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnumeric data for metrics, strings for tagsno
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.yesnonoyes infoonly with the Berkeley DB XML edition
Secondary indexesyesyesnoyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLSQL-like query language infovia JavaScript builder patternnoyes infoSQL interfaced based on SQLite is available
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP API
Telnet API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
JavaScriptErlang
Go
Java
Python
R
Ruby
.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 proceduresyes (compute grid and cache interceptors can be used instead)nonono
Triggersyes (cache interceptors and events)Using read-only observersnoyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infobased on HBasenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)noneselectable replication factor infobased on HBaseSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing MemoryDBnoyes
User concepts infoAccess controlRole-based access control
Security Hooks for custom implementations
nonono

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More resources
GridGainLovefieldOpenTSDBOracle Berkeley DB
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