DBMS > Datastax Enterprise vs. LevelDB vs. Lovefield
System Properties Comparison Datastax Enterprise vs. LevelDB vs. Lovefield
Please select another system to include it in the comparison.
|Editorial information provided by DB-Engines|
|Name||Datastax Enterprise Xexclude from comparison||LevelDB Xexclude from comparison||Lovefield Xexclude from comparison|
|Primary database model||Wide column store||Key-value store||Relational DBMS|
|Secondary database models||Document store|
|Current release||6.8, April 2020||1.23, February 2021||2.1.12, February 2017|
|License Commercial or Open Source||commercial||Open Source BSD||Open Source Apache 2.0|
|Cloud-based only Only available as a cloud service||no||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
Providers of DBaaS offerings, please contact us to be listed.
|Datastax Astra DB: Astra DB simplifies cloud-native Cassandra application development for your apps, microservices and functions. Deploy in minutes on AWS, Google Cloud, Azure, and have it managed for you by the experts, with serverless, pay-as-you-go pricing.|
|Server operating systems||Linux|
|Typing predefined data types such as float or date||yes||no||yes|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||no||no||no|
|APIs and other access methods||Proprietary protocol CQL (Cassandra Query Language)|
TinkerPop Gremlin with DSE Graph
|Supported programming languages||C|
Java 3rd party binding
Python 3rd party binding
|Server-side scripts Stored procedures||no||no||no|
|Triggers||yes||no||Using read-only observers|
|Partitioning methods Methods for storing different data on different nodes||Sharding no "single point of failure"||none||none|
|Replication methods Methods for redundantly storing data on multiple nodes||configurable replication factor, datacenter aware, advanced replication for edge computing||none||none|
|MapReduce Offers an API for user-defined Map/Reduce methods||yes||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency|
Tunable Consistency consistency level can be individually decided with each write operation
|Foreign keys Referential integrity||no||no||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||no Atomicity and isolation are supported for single operations||no||ACID|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes||yes with automatic compression on writes||yes, by using IndexedDB or the cloud service Firebase Realtime Database|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes||yes using MemoryDB|
|User concepts Access control||Access rights for users can be defined per object||no||no|
|More information provided by the system vendor|
|Specific characteristics||DataStax Enterprise is scale-out data infrastructure for enterprises that need to...|
|Competitive advantages||Supporting the following application requirements: Zero downtime - Built on Apache...|
|Typical application scenarios||Applications that must be massively and linearly scalable with 100% uptime and able...|
|Key customers||Capital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...|
|Market metrics||Among the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...|
|Licensing and pricing models||Annual subscription|
We invite representatives of system vendors to contact us for updating and extending the system information,
Related products and services
We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
|Recent citations in the news|
DataStax Launches Astra DB Vertex Extension for Google Cloud's ...
DataStax Delivers New JSON API: Enabling the World's Largest ...
DataStax Announces Vector Search for DataStax Enterprise ...
Zuci Systems: Leading the Way in RPA-Driven Software Testing IT ...
Nectar In Vector, DataStax Takes Flight For Sweeter Clouds
provided by Google News
Caduceus Weekly Report 73. Ecosystem & Operations | by ...
Blockchain Development Lifecycle: A Well-Defined Approach to ...
Rust-Based Info Stealers Abuse GitHub Codespaces
CockroachDB Launches Advanced Key-Value Store Pebble
Hackers Use New Ransomware that Encrypts Files & Steals Tokens From Victim’s Machine
provided by Google News
Google Lovefield Relational Query Engine
provided by Google News
DataStax Cassandra Administrator
Sr. Software Architect
Senior Consultant - (USA - Remote)
Lead Product Designer
Principal Data Engineer (REMOTE)
Backend Engineer (Databases)
Software Engineer – LTE/5G Protocol Stack Development
Staff/Principal Software Engineer
Senior Software Engineer - FoundationDB
Senior Software Engineer- Database Internals
Share this page