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DBMS > Apache IoTDB vs. dBASE vs. Google Cloud Bigtable vs. InterSystems IRIS vs. SpaceTime

System Properties Comparison Apache IoTDB vs. dBASE vs. Google Cloud Bigtable vs. InterSystems IRIS vs. SpaceTime

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisondBASE  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonSpaceTime  Xexclude from comparison
DescriptionAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkdBase 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.A containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilitySpaceTime is a spatio-temporal DBMS with a focus on performance.
Primary database modelTime Series DBMSRelational DBMSKey-value store
Wide column store
Document store
Key-value store
Object oriented DBMS
Relational DBMS
Spatial DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score9.70
Rank#44  Overall
#28  Relational DBMS
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score3.54
Rank#84  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score0.03
Rank#392  Overall
#8  Spatial DBMS
Websiteiotdb.apache.orgwww.dbase.comcloud.google.com/­bigtablewww.intersystems.com/­products/­intersystems-iriswww.mireo.com/­spacetime
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.dbase.com/­support/­knowledgebasecloud.google.com/­bigtable/­docsdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.cls
DeveloperApache Software FoundationAsthon TateGoogleInterSystemsMireo
Initial release20181979201520182020
Current release1.1.0, April 2023dBASE 2019, 20192023.3, June 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemsAll OS with a Java VM (>= 1.8)DOS infodBase Classic
Windows infodBase Pro
hostedAIX
Linux
macOS
Ubuntu
Windows
Linux
Data schemeyesyesschema-freedepending on used data modelyes
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.nonoyesno
Secondary indexesyesyesnoyesno
SQL infoSupport of SQLSQL-like query languagenonoyesA subset of ANSI SQL is implemented
APIs and other access methodsJDBC
Native API
none infoThe IDE can access other DBMS or ODBC-sources.gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
ODBC
RESTful HTTP API
RESTful HTTP API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
dBase proprietary IDEC#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C++
Java
JavaScript (Node.js)
Python
C#
C++
Python
Server-side scripts infoStored proceduresyesno infoThe IDE can access stored procedures in other database systems.noyesno
Triggersyesnonoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)noneShardingShardingFixed-grid hypercubes
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasnoneInternal replication in Colossus, and regional replication between two clusters in different zonesSource-replica replicationReal-time block device replication (DRBD)
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infonot for dBase internal data, but IDE does support transactions when accessing external DBMSAtomic single-row operationsACIDno
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.yesnoyesno
User concepts infoAccess controlyesAccess rights for users and rolesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yesyes
More information provided by the system vendor
Apache IoTDBdBASEGoogle Cloud BigtableInterSystems IRISSpaceTime
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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Apache IoTDBdBASEGoogle Cloud BigtableInterSystems IRISSpaceTime
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