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DBMS > Databricks vs. Google Cloud Bigtable vs. HarperDB vs. SAP SQL Anywhere vs. Splunk

System Properties Comparison Databricks vs. Google Cloud Bigtable vs. HarperDB vs. SAP SQL Anywhere vs. Splunk

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonHarperDB  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonSplunk  Xexclude from comparison
DescriptionThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.RDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsAnalytics Platform for Big Data
Primary database modelDocument store
Relational DBMS
Key-value store
Wide column store
Document storeRelational DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score0.60
Rank#244  Overall
#38  Document stores
Score3.95
Rank#80  Overall
#42  Relational DBMS
Score89.10
Rank#14  Overall
#2  Search engines
Websitewww.databricks.comcloud.google.com/­bigtablewww.harperdb.iowww.sap.com/­products/­technology-platform/­sql-anywhere.htmlwww.splunk.com
Technical documentationdocs.databricks.comcloud.google.com/­bigtable/­docsdocs.harperdb.io/­docshelp.sap.com/­docs/­SAP_SQL_Anywheredocs.splunk.com/­Documentation/­Splunk
DeveloperDatabricksGoogleHarperDBSAP infoformerly SybaseSplunk Inc.
Initial release20132015201719922003
Current release3.1, August 202117, July 2015
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree community edition availablecommercialcommercial infoLimited free edition and free developer edition available
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageNode.js
Server operating systemshostedhostedLinux
OS X
AIX
HP-UX
Linux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freedynamic schemayesyes
Typing infopredefined data types such as float or datenoyes infoJSON data typesyesyes
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.yesnonoyesyes
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLwith Databricks SQLnoSQL-like data manipulation statementsyesno infoSplunk Search Processing Language for search commands
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
ADO.NET
HTTP API
JDBC
ODBC
HTTP REST
Supported programming languagesPython
R
Scala
C#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
Java
JavaScript
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoCustom Functions infosince release 3.1yes, in C/C++, Java, .Net or Perlyes
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingA table resides as a whole on one (or more) nodes in a clusternoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesInternal replication in Colossus, and regional replication between two clusters in different zonesyes infothe nodes on which a table resides can be definedSource-replica replication infoDatabase mirroringMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes
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 ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-row operationsAtomic execution of specific operationsACIDno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes, using LMDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyesno
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users and rolesfine grained access rights according to SQL-standardAccess rights for users and roles
More information provided by the system vendor
DatabricksGoogle Cloud BigtableHarperDBSAP SQL Anywhere infoformerly called Adaptive Server AnywhereSplunk
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksGoogle Cloud BigtableHarperDBSAP SQL Anywhere infoformerly called Adaptive Server AnywhereSplunk
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