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DBMS > Elasticsearch vs. GigaSpaces vs. TypeDB vs. WakandaDB

System Properties Comparison Elasticsearch vs. GigaSpaces vs. TypeDB vs. WakandaDB

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonGigaSpaces  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsTypeDB provides developers with an expressive, customizable type system to manage their data using an award-winning query language, TypeQL, while building on a high-performance, distributed architecture.WakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelSearch engineDocument store
Object oriented DBMS infoValues are user defined objects
Graph DBMS infoThe type-theoretic data model of TypeDB subsumes the graph database model.
Object oriented DBMS infoThe data model of TypeDB comprises object-oriented features such as class inheritance and interfaces.
Relational DBMS infoThe type-theoretic data model of TypeDB subsumes the relational database model.
Object oriented DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Graph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score128.79
Rank#8  Overall
#1  Search engines
Score0.91
Rank#197  Overall
#33  Document stores
#7  Object oriented DBMS
Score0.65
Rank#230  Overall
#20  Graph DBMS
#9  Object oriented DBMS
#107  Relational DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitewww.elastic.co/­elasticsearchwww.gigaspaces.comtypedb.comwakanda.github.io
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.gigaspaces.com/­latest/­landing.htmltypedb.com/­docswakanda.github.io/­doc
DeveloperElasticGigaspaces TechnologiesVaticleWakanda SAS
Initial release2010200020162012
Current release8.6, January 202315.5, September 20202.28.3, June 20242.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoElastic LicenseOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoGPL Version 3, commercial licenses availableOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, C++, .NetJavaC++, JavaScript
Server operating systemsAll OS with a Java VMLinux
macOS
Solaris
Windows
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nono infoXML can be used for describing objects metadatanono
Secondary indexesyes infoAll search fields are automatically indexedyesyes
SQL infoSupport of SQLSQL-like query languageSQL-99 for query and DML statementsnono
APIs and other access methodsJava API
RESTful HTTP/JSON API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (IDE)
RESTful HTTP API
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C++
Java
Python
Scala
All JVM based languages
C
C++
Java
JavaScript (Node.js)
Python
Rust
JavaScript
Server-side scripts infoStored proceduresyesyesnoyes
Triggersyes infoby using the 'percolation' featureyes, event driven architecturenoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Synchronous replication via raftnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectoryes infoMap-Reduce pattern can be built with XAP task executorsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.Memcached and Redis integrationyesnono
User concepts infoAccess controlRole-based access controlyes infoat REST API level; other APIs in progressyes
More information provided by the system vendor
ElasticsearchGigaSpacesTypeDB infoformerly named GraknWakandaDB
Specific characteristicsTypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantagesTypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosLife sciences : TypeDB makes working with biological data much easier and accelerates...
» more
Licensing and pricing modelsApache f or language drivers, and AGPL and Commercial for the database server. The...
» more

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More resources
ElasticsearchGigaSpacesTypeDB infoformerly named GraknWakandaDB
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