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DBMS > dBASE vs. GridGain vs. Hazelcast vs. RavenDB

System Properties Comparison dBASE vs. GridGain vs. Hazelcast vs. RavenDB

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Editorial information provided by DB-Engines
NamedBASE  Xexclude from comparisonGridGain  Xexclude from comparisonHazelcast  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptiondBase was one of the first databases with a development environment on PC's. Its latest version dBase V is still sold as dBase classic, which needs a DOS Emulation. The up-to-date product is dBase plus.GridGain is an in-memory computing platform, built on Apache IgniteA widely adopted in-memory data gridOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelRelational DBMSColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Key-value storeDocument store
Secondary database modelsDocument store infoJSON support with IMDG 3.12Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.16
Rank#43  Overall
#27  Relational DBMS
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score5.72
Rank#59  Overall
#6  Key-value stores
Score2.68
Rank#102  Overall
#19  Document stores
Websitewww.dbase.comwww.gridgain.comhazelcast.comravendb.net
Technical documentationwww.dbase.com/­support/­knowledgebasewww.gridgain.com/­docs/­index.htmlhazelcast.org/­imdg/­docsravendb.net/­docs
DeveloperAsthon TateGridGain Systems, Inc.HazelcastHibernating Rhinos
Initial release1979200720082010
Current releasedBASE 2019, 2019GridGain 8.5.15.3.6, November 20235.4, July 2022
License infoCommercial or Open Sourcecommercialcommercial, open sourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infoAGPL version 3, 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 languageJava, C++, .Net, Python, REST, SQLJavaC#
Server operating systemsDOS infodBase Classic
Windows infodBase Pro
Linux
OS X
Solaris
Windows
z/OS
All OS with a Java VMLinux
macOS
Raspberry Pi
Windows
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.yesyes infothe object must implement a serialization strategy
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLSQL-like query languageSQL-like query language (RQL)
APIs and other access methodsnone infoThe IDE can access other DBMS or ODBC-sources.HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JCache
JPA
Memcached protocol
RESTful HTTP API
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesdBase proprietary IDEC#
C++
Java
PHP
Python
Ruby
Scala
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresno infoThe IDE can access stored procedures in other database systems.yes (compute grid and cache interceptors can be used instead)yes infoEvent Listeners, Executor Servicesyes
Triggersnoyes (cache interceptors and events)yes infoEventsyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes (replicated cache)yes infoReplicated MapMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)yesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infonot for dBase internal data, but IDE does support transactions when accessing external DBMSACIDone or two-phase-commit; repeatable reads; read commitedACID, Cluster-wide transaction available
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.yesyes
User concepts infoAccess controlAccess rights for users and rolesRole-based access control
Security Hooks for custom implementations
Role-based access controlAuthorization levels configured per client per database

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