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DBMS > Amazon Neptune vs. dBASE vs. Drizzle vs. RRDtool vs. Spark SQL

System Properties Comparison Amazon Neptune vs. dBASE vs. Drizzle vs. RRDtool vs. Spark SQL

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisondBASE  Xexclude from comparisonDrizzle  Xexclude from comparisonRRDtool  Xexclude from comparisonSpark SQL  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionFast, reliable graph database built for the clouddBase 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.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Industry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.Spark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score9.70
Rank#44  Overall
#28  Relational DBMS
Score1.90
Rank#132  Overall
#11  Time Series DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websiteaws.amazon.com/­neptunewww.dbase.comoss.oetiker.ch/­rrdtoolspark.apache.org/­sql
Technical documentationaws.amazon.com/­neptune/­developer-resourceswww.dbase.com/­support/­knowledgebaseoss.oetiker.ch/­rrdtool/­docspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAmazonAsthon TateDrizzle project, originally started by Brian AkerTobias OetikerApache Software Foundation
Initial release20171979200819992014
Current releasedBASE 2019, 20197.2.4, September 20121.8.0, 20223.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGNU GPLOpen Source infoGPL V2 and FLOSSOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C infoImplementations in Java (e.g. RRD4J) and C# availableScala
Server operating systemshostedDOS infodBase Classic
Windows infodBase Pro
FreeBSD
Linux
OS X
HP-UX
Linux
Linux
OS X
Windows
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesNumeric data onlyyes
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.nono infoExporting into and restoring from XML files possibleno
Secondary indexesnoyesyesnono
SQL infoSupport of SQLnonoyes infowith proprietary extensionsnoSQL-like DML and DDL statements
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
none infoThe IDE can access other DBMS or ODBC-sources.JDBCin-process shared library
Pipes
JDBC
ODBC
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
dBase proprietary IDEC
C++
Java
PHP
C infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
Java
Python
R
Scala
Server-side scripts infoStored proceduresnono infoThe IDE can access stored procedures in other database systems.nonono
Triggersnonono infohooks for callbacks inside the server can be used.nono
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingnoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.noneMulti-source replication
Source-replica replication
nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencynone
Foreign keys infoReferential integrityyes infoRelationships in graphsyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infonot for dBase internal data, but IDE does support transactions when accessing external DBMSACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoby using the rrdcached daemonyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users and rolesPluggable authentication mechanisms infoe.g. LDAP, HTTPnono

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More resources
Amazon NeptunedBASEDrizzleRRDtoolSpark SQL
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