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DBMS > GigaSpaces vs. HarperDB vs. Hyprcubd vs. Ingres vs. Vertica

System Properties Comparison GigaSpaces vs. HarperDB vs. Hyprcubd vs. Ingres vs. Vertica

Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonHarperDB  Xexclude from comparisonHyprcubd  Xexclude from comparisonIngres  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Serverless Time Series DBMSWell established RDBMSCloud 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 modelDocument store
Object oriented DBMS infoValues are user defined objects
Document storeTime Series DBMSRelational DBMSRelational DBMS infoColumn oriented
Secondary database modelsGraph DBMS
Search engine
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.55
Rank#248  Overall
#38  Document stores
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score10.68
Rank#43  Overall
#27  Relational DBMS
Websitewww.gigaspaces.comwww.harperdb.iohyprcubd.com (offline)www.actian.com/­databases/­ingreswww.vertica.com
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmldocs.harperdb.io/­docsdocs.actian.com/­ingresvertica.com/­documentation
DeveloperGigaspaces TechnologiesHarperDBHyprcubd, Inc.Actian CorporationOpenText infopreviously Micro Focus and Hewlett Packard
Initial release200020171974 infooriginally developed at University Berkely in early 1970s2005
Current release15.5, September 20203.1, August 202111.2, May 202212.0.3, January 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availablecommercial infofree community edition availablecommercialcommercialcommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenonoyesnono 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.
Implementation languageJava, C++, .NetNode.jsGoCC++
Server operating systemsLinux
macOS
Solaris
Windows
Linux
OS X
hostedAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
Data schemeschema-freedynamic schemayesyesYes, 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 dateyesyes infoJSON data typesyes infotime, int, uint, float, stringyesyes
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 metadatanonono infobut tools for importing/exporting data from/to XML-files availableno
Secondary indexesyesyesnoyesNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLSQL-99 for query and DML statementsSQL-like data manipulation statementsSQL-like query languageyesFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
gRPC (https).NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languages.Net
C++
Java
Python
Scala
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresyesCustom Functions infosince release 3.1noyesyes, PostgreSQL PL/pgSQL, with minor differences
Triggersyes, event driven architecturenonoyesyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesShardingA table resides as a whole on one (or more) nodes in a clusterhorizontal partitioning infoIngres Star to access multiple databases simultaneouslyhorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yes infothe nodes on which a table resides can be definedIngres ReplicatorMulti-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 methodsyes infoMap-Reduce pattern can be built with XAP task executorsnononono infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesnoyes infoMVCCyes
Durability infoSupport for making data persistentyesyes, using LMDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnonono
User concepts infoAccess controlRole-based access controlAccess rights for users and rolestoken accessfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
GigaSpacesHarperDBHyprcubdIngresVertica infoOpenText™ Vertica™
Specific characteristicsDeploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
» more
Competitive advantagesFast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
» more
Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Licensing and pricing modelsCost-based models and subscription-based models are both available. One license is...
» more

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More resources
GigaSpacesHarperDBHyprcubdIngresVertica infoOpenText™ Vertica™
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