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DBMS > Hazelcast vs. Oracle Berkeley DB vs. Rockset vs. Sqrrl

System Properties Comparison Hazelcast vs. Oracle Berkeley DB vs. Rockset vs. Sqrrl

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Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonRockset  Xexclude from comparisonSqrrl  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionA widely adopted in-memory data gridWidely used in-process key-value storeA scalable, reliable search and analytics service in the cloud, built on RocksDBAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelKey-value storeKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Document storeDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsDocument store infoJSON support with IMDG 3.12Relational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.46
Rank#61  Overall
#7  Key-value stores
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Score0.82
Rank#212  Overall
#36  Document stores
Websitehazelcast.comwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlrockset.comsqrrl.com
Technical documentationhazelcast.org/­imdg/­docsdocs.oracle.com/­cd/­E17076_05/­html/­index.htmldocs.rockset.com
DeveloperHazelcastOracle infooriginally developed by Sleepycat, which was acquired by OracleRocksetAmazon infooriginally Sqrrl Data, Inc.
Initial release2008199420192012
Current release5.3.6, November 202318.1.40, May 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infocommercial license availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, Java, C++ (depending on the Berkeley DB edition)C++Java
Server operating systemsAll OS with a Java VMAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
hostedLinux
Data schemeschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesnodynamic typingyes
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.yes infothe object must implement a serialization strategyyes infoonly with the Berkeley DB XML editionno infoingestion from XML files supported
Secondary indexesyesyesall fields are automatically indexedyes
SQL infoSupport of SQLSQL-like query languageyes infoSQL interfaced based on SQLite is availableRead-only SQL queries, including JOINsno
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
HTTP RESTAccumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.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
Go
Java
JavaScript (Node.js)
Python
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresyes infoEvent Listeners, Executor Servicesnonono
Triggersyes infoEventsyes infoonly for the SQL APInono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneAutomatic shardingSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated MapSource-replica replicationyesselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitedACIDnoAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yesyes
User concepts infoAccess controlRole-based access controlnoAccess rights for users and organizations can be defined via Rockset consoleCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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HazelcastOracle Berkeley DBRocksetSqrrl
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