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DBMS > Datastax Enterprise vs. Google Cloud Bigtable vs. Microsoft Access vs. QuestDB vs. TempoIQ

System Properties Comparison Datastax Enterprise vs. Google Cloud Bigtable vs. Microsoft Access vs. QuestDB vs. TempoIQ

Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonQuestDB  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparison
TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.
DescriptionDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Microsoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)A high performance, low latency Time Series DBMSScalable analytics DBMS for sensor data, provided as a service (SaaS)
Primary database modelWide column storeWide column storeRelational DBMSTime Series DBMSTime Series DBMS
Secondary database modelsDocument store
Graph DBMS
Search engine
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.43
Rank#49  Overall
#4  Wide column stores
Score4.06
Rank#82  Overall
#7  Wide column stores
Score117.23
Rank#11  Overall
#7  Relational DBMS
Score0.31
Rank#260  Overall
#20  Time Series DBMS
Websitewww.datastax.com/­products/­datastax-enterprisecloud.google.com/­bigtablewww.microsoft.com/­en-us/­microsoft-365/­accessquestdb.iotempoiq.com (offline)
Technical documentationdocs.datastax.comcloud.google.com/­bigtable/­docsdeveloper.microsoft.com/­en-us/­accessquestdb.io/­docs/­introduction
DeveloperDataStaxGoogleMicrosoftQuestDB LimitedTempoIQ
Initial release20112015199220142012
Current release6.8, April 20201902 (16.0.11328.20222), March 2019
License infoCommercial or Open Sourcecommercialcommercialcommercial infoBundled with Microsoft OfficeOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++Java
Server operating systemsLinux
OS X
hostedWindows infoNot a real database server, but making use of DLLsLinux
macOS
Windows
Data schemeschema-freeschema-freeyesyesschema-free
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.nononono
Secondary indexesyesnoyesno
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLnoyes infobut not compliant to any SQL standardSQL-like query languageno
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
ADO.NET
DAO
ODBC
OLE DB
HTTP RESTHTTP API
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
JavaC#
Java
JavaScript infoNode.js
Python
Ruby
Server-side scripts infoStored proceduresnonoyes infosince Access 2010 using the ACE-enginenono
Triggersyesnoyes infosince Access 2010 using the ACE-enginenoyes infoRealtime Alerts
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"Shardingnonehorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingInternal replication in Colossus, and regional replication between two clusters in different zonesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsAtomic single-row operationsACID infobut no files for transaction loggingACID for single-table writesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infobut no files for transaction loggingyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonono
User concepts infoAccess controlAccess rights for users can be defined per objectAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)no infoa simple user-level security was built in till version Access 2003simple authentication-based access control
More information provided by the system vendor
Datastax EnterpriseGoogle Cloud BigtableMicrosoft AccessQuestDBTempoIQ infoformerly TempoDB
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Relational model with native time series support Column based storage and time partitioned...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
Real-time data ingestion and istant SQL queries for time series High performance...
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Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
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Application metrics Financial market data and algo trading DevOps monitoring Real-time...
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Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» more
Apache 2.0.
» more

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More resources
Datastax EnterpriseGoogle Cloud BigtableMicrosoft AccessQuestDBTempoIQ infoformerly TempoDB
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