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DBMS > Oracle Berkeley DB vs. SAP IQ vs. SingleStore vs. Vertica

System Properties Comparison Oracle Berkeley DB vs. SAP IQ vs. SingleStore vs. Vertica

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Editorial information provided by DB-Engines
NameOracle Berkeley DB  Xexclude from comparisonSAP IQ infoformer name: Sybase IQ  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparison
DescriptionWidely used in-process key-value storeColumnar RDBMS optimized for Big Data analyticsMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table typeCloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.
Primary database modelKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Relational DBMS infocolumn-orientedRelational DBMSRelational DBMS infoColumn oriented
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Score2.64
Rank#108  Overall
#52  Relational DBMS
Score5.38
Rank#62  Overall
#35  Relational DBMS
Score10.06
Rank#42  Overall
#26  Relational DBMS
Websitewww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.sap.com/­products/­technology-platform/­sybase-iq-big-data-management.htmlwww.singlestore.comwww.vertica.com
Technical documentationdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlhelp.sap.com/­docs/­SAP_IQdocs.singlestore.comvertica.com/­documentation
DeveloperOracle infooriginally developed by Sleepycat, which was acquired by OracleSAP, formerly SybaseSingleStore Inc.OpenText infopreviously Micro Focus and Hewlett Packard
Initial release1994199420132005
Current release18.1.40, May 202016.1 SPS04, April 20198.5, January 202412.0.3, January 2023
License infoCommercial or Open SourceOpen Source infocommercial license availablecommercialcommercial infofree developer edition availablecommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenononono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SingleStoreDB Cloud: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
Implementation languageC, Java, C++ (depending on the Berkeley DB edition)C++, GoC++
Server operating systemsAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
AIX
HP-UX
Linux
Solaris
Windows
Linux info64 bit version requiredLinux
Data schemeschema-freeyesyesYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
Typing infopredefined data types such as float or datenoyesyesyes
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 infoonly with the Berkeley DB XML editionnonono
Secondary indexesyesyesyesNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLyes infoSQL interfaced based on SQLite is availableyesyes infobut no triggers and foreign keysFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsADO.NET
JDBC
ODBC
RESTful HTTP API
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languages.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
C
C#
C++
Java
Perl
PHP
Python
Ruby
Bash
C
C#
Java
JavaScript (Node.js)
Python
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresnoyesyesyes, PostgreSQL PL/pgSQL, with minor differences
Triggersyes infoonly for the SQL APIyesnoyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesnoneshared disk or shared nothing architectures with SAP IQ MultiplexerSharding infohash partitioninghorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSAP/Sybase Replication ServerSource-replica replication infostores two copies of each physical data partition on two separate nodesMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoHadoop integrationno infocan define user-defined aggregate functions for map-reduce-style calculationsno infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesno
User concepts infoAccess controlnofine grained access rights according to SQL-standardFine grained access control via users, groups and rolesfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
Oracle Berkeley DBSAP IQ infoformer name: Sybase IQSingleStore infoformer name was MemSQLVertica infoOpenText™ Vertica™
Specific characteristicsSingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» more
Deploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
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Competitive advantagesSingleStore’s competitive advantages include: Easy and Simplified Architecture with...
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Fast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
» more
Typical application scenariosDriving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» more
Communication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersIEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» more
Abiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Market metricsCustomers in various industries worldwide including US and International Industry...
» more
Licensing and pricing modelsF ree Tier and Enterprise Edition
» more
Cost-based models and subscription-based models are both available. One license is...
» more

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More resources
Oracle Berkeley DBSAP IQ infoformer name: Sybase IQSingleStore infoformer name was MemSQLVertica infoOpenText™ Vertica™
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