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DBMS > dBASE vs. Google Cloud Bigtable vs. GridGain vs. HugeGraph vs. ObjectBox

System Properties Comparison dBASE vs. Google Cloud Bigtable vs. GridGain vs. HugeGraph vs. ObjectBox

Editorial information provided by DB-Engines
NamedBASE  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonGridGain  Xexclude from comparisonHugeGraph  Xexclude from comparisonObjectBox  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.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.GridGain is an in-memory computing platform, built on Apache IgniteA fast-speed and highly-scalable Graph DBMSExtremely fast embedded database for small devices, IoT and Mobile
Primary database modelRelational DBMSKey-value store
Wide column store
Key-value store
Relational DBMS
Graph DBMSObject oriented DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.70
Rank#44  Overall
#28  Relational DBMS
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Websitewww.dbase.comcloud.google.com/­bigtablewww.gridgain.comgithub.com/­hugegraph
hugegraph.apache.org
objectbox.io
Technical documentationwww.dbase.com/­support/­knowledgebasecloud.google.com/­bigtable/­docswww.gridgain.com/­docs/­index.htmlhugegraph.apache.org/­docsdocs.objectbox.io
DeveloperAsthon TateGoogleGridGain Systems, Inc.BaiduObjectBox Limited
Initial release19792015200720182017
Current releasedBASE 2019, 2019GridGain 8.5.10.9
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache Version 2.0Open Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetJavaC and C++
Server operating systemsDOS infodBase Classic
Windows infodBase Pro
hostedLinux
OS X
Solaris
Windows
Linux
macOS
Unix
Android
iOS
Linux
macOS
Windows
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.noyesnono
Secondary indexesyesnoyesyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLnonoANSI-99 for query and DML statements, subset of DDLnono
APIs and other access methodsnone infoThe IDE can access other DBMS or ODBC-sources.gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Java API
RESTful HTTP API
TinkerPop Gremlin
Proprietary native API
Supported programming languagesdBase proprietary IDEC#
C++
Go
Java
JavaScript (Node.js)
Python
C#
C++
Java
PHP
Python
Ruby
Scala
Groovy
Java
Python
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
Server-side scripts infoStored proceduresno infoThe IDE can access stored procedures in other database systems.noyes (compute grid and cache interceptors can be used instead)asynchronous Gremlin script jobsno
Triggersnonoyes (cache interceptors and events)nono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingyes infodepending on used storage backend, e.g. Cassandra and HBasenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneInternal replication in Colossus, and regional replication between two clusters in different zonesyes (replicated cache)yes infodepending on used storage backend, e.g. Cassandra and HBaseonline/offline synchronization between client and server
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes (compute grid and hadoop accelerator)via hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes infoedges in graphyes
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 DBMSAtomic single-row operationsACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Security Hooks for custom implementationsUsers, roles and permissionsyes
More information provided by the system vendor
dBASEGoogle Cloud BigtableGridGainHugeGraphObjectBox
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