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DBMS > Bangdb vs. LeanXcale vs. Netezza vs. NSDb vs. Sqrrl

System Properties Comparison Bangdb vs. LeanXcale vs. Netezza vs. NSDb vs. Sqrrl

Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonLeanXcale  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonNSDb  Xexclude from comparisonSqrrl  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionConverged and high performance database for device data, events, time series, document and graphA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesData warehouse and analytics appliance part of IBM PureSystemsScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Key-value store
Relational DBMS
Relational DBMSTime Series DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Websitebangdb.comwww.leanxcale.comwww.ibm.com/­products/­netezzansdb.iosqrrl.com
Technical documentationdocs.bangdb.comnsdb.io/­Architecture
DeveloperSachin Sinha, BangDBLeanXcaleIBMAmazon infooriginally Sqrrl Data, Inc.
Initial release20122015200020172012
Current releaseBangDB 2.0, October 2021
License infoCommercial or Open SourceOpen Source infoBSD 3commercialcommercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++Java, ScalaJava
Server operating systemsLinuxLinux infoincluded in applianceLinux
macOS
Linux
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyes: int, bigint, decimal, stringyes
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
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesall fields are automatically indexedyes
SQL infoSupport of SQLSQL like support with command line toolyes infothrough Apache DerbyyesSQL-like query languageno
APIs and other access methodsProprietary protocol
RESTful HTTP API
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
JDBC
ODBC
OLE DB
gRPC
HTTP REST
WebSocket
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesC
C#
C++
Java
Python
C
Java
Scala
C
C++
Fortran
Java
Lua
Perl
Python
R
Java
Scala
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresnoyesnono
Triggersyes, Notifications (with Streaming only)nono
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingShardingSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Source-replica replicationselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyEventual ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnoAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, run db with in-memory only modeyes
User concepts infoAccess controlyes (enterprise version only)Users with fine-grained authorization conceptCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
BangdbLeanXcaleNetezza infoAlso called PureData System for Analytics by IBMNSDbSqrrl
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