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DBMS > Adabas vs. Apache Drill vs. Google Cloud Firestore vs. Lovefield

System Properties Comparison Adabas vs. Apache Drill vs. Google Cloud Firestore vs. Lovefield

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Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonApache Drill  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonLovefield  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.Embeddable relational database for web apps written in pure JavaScript
Primary database modelMultivalue DBMSDocument store
Relational DBMS
Document storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.04
Rank#87  Overall
#1  Multivalue DBMS
Score2.58
Rank#118  Overall
#23  Document stores
#56  Relational DBMS
Score9.97
Rank#47  Overall
#8  Document stores
Score0.35
Rank#286  Overall
#131  Relational DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmldrill.apache.orgfirebase.google.com/­products/­firestoregoogle.github.io/­lovefield
Technical documentationdrill.apache.org/­docsfirebase.google.com/­docs/­firestoregithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperSoftware AGApache Software FoundationGoogleGoogle
Initial release1971201220172014
Current release1.20.3, January 20232.1.12, February 2017
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScript
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
Linux
OS X
Windows
hostedserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesnoyesyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaySQL SELECT statement is SQL:2003 compliantnoSQL-like query language infovia JavaScript builder pattern
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
JDBC
ODBC
RESTful HTTP API
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Supported programming languagesNaturalC++Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
JavaScript
Server-side scripts infoStored proceduresin Naturaluser defined functionsyes, Firebase Rules & Cloud Functionsno
Triggersnonoyes, with Cloud FunctionsUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event ReplicatorMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesUsing Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesDepending on the underlying data sourceyesyes, by using IndexedDB or the cloud service Firebase Realtime Database
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noDepending on the underlying data sourceyes infousing MemoryDB
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)Depending on the underlying data sourceAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.no

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More resources
Adabas infodenotes "adaptable data base"Apache DrillGoogle Cloud FirestoreLovefield
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