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DBMS > dBASE vs. EXASOL vs. Google Cloud Bigtable vs. Graph Engine vs. Hazelcast

System Properties Comparison dBASE vs. EXASOL vs. Google Cloud Bigtable vs. Graph Engine vs. Hazelcast

Editorial information provided by DB-Engines
NamedBASE  Xexclude from comparisonEXASOL  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonHazelcast  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.High-performance, in-memory, MPP database specifically designed for in-memory analytics.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA widely adopted in-memory data grid
Primary database modelRelational DBMSRelational DBMSKey-value store
Wide column store
Graph DBMS
Key-value store
Key-value store
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.70
Rank#44  Overall
#28  Relational DBMS
Score1.76
Rank#139  Overall
#62  Relational DBMS
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score5.46
Rank#61  Overall
#7  Key-value stores
Websitewww.dbase.comwww.exasol.comcloud.google.com/­bigtablewww.graphengine.iohazelcast.com
Technical documentationwww.dbase.com/­support/­knowledgebasewww.exasol.com/­resourcescloud.google.com/­bigtable/­docswww.graphengine.io/­docs/­manualhazelcast.org/­imdg/­docs
DeveloperAsthon TateExasolGoogleMicrosoftHazelcast
Initial release19792000201520102008
Current releasedBASE 2019, 20195.3.6, November 2023
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoMIT LicenseOpen Source infoApache Version 2; commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation language.NET and CJava
Server operating systemsDOS infodBase Classic
Windows infodBase Pro
hosted.NETAll OS with a Java VM
Data schemeyesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesnoyesyes
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.nononoyes infothe object must implement a serialization strategy
Secondary indexesyesyesnoyes
SQL infoSupport of SQLnoyesnonoSQL-like query language
APIs and other access methodsnone infoThe IDE can access other DBMS or ODBC-sources..Net
JDBC
ODBC
WebSocket
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
RESTful HTTP APIJCache
JPA
Memcached protocol
RESTful HTTP API
Supported programming languagesdBase proprietary IDEJava
Lua
Python
R
C#
C++
Go
Java
JavaScript (Node.js)
Python
C#
C++
F#
Visual Basic
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresno infoThe IDE can access stored procedures in other database systems.user defined functionsnoyesyes infoEvent Listeners, Executor Services
Triggersnoyesnonoyes infoEvents
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardinghorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneInternal replication in Colossus, and regional replication between two clusters in different zonesyes infoReplicated Map
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithm
Foreign keys infoReferential integrityyesyesnonono
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 DBMSACIDAtomic single-row operationsnoone or two-phase-commit; repeatable reads; read commited
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users, groups and roles according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Role-based access control

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More resources
dBASEEXASOLGoogle Cloud BigtableGraph Engine infoformer name: TrinityHazelcast
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