Levitate By Last9
VictoriaMetrics
Prometheus
InfluxData
Zabbix
Datadog
TimescaleDB
QuestDB
Apache Cassandra
MongoDB
Redis
ArangoDB
PostgreSQL
neo4j
OrientDB
MySQL
Levitate is a mission-critical time series database that allows control over queries and storage to build a cost-effective and toil-free foundation for operational readiness.
We built Levitate from the ground up, with warehousing capabilities baked-in, to mitigate the problems faced by time series databases — of high cardinality and concurrent access while providing highly available storage, faster queries, and proactive alerting.
Levitate By Last9 Apache CassandraNo features have been listed yet.
Levitate By Last9's answer
Open Standards Compatible, Control Levers to Manage high Cardinality Metrics, Data Tiering to Store metrics efficiently, Proactive Alerting, Ability to Track Change Events such as Deployments, Business Events Tracking, Cost Efficient, Managed solution with SLAs, Available on AWS and GCP Marketplaces.
Levitate By Last9's answer
Streaming Aggregation pipeline and better workflows to manage High Cardinality metrics.
Levitate By Last9's answer
DevOps, SRE, Software Engineers, CTO, Director SRE
Levitate By Last9's answer
Levitate By Last9's answer
Disney+ Hotstar, Replit, Clevertap, Atlan, Probo, Dukaan, Axio.
Based on our record, Apache Cassandra seems to be more popular. It has been mentiond 41 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Distributed storage Distributed storage systems like Cassandra, DynamoDB, and Voldemort also use consistent hashing. In these systems, data is partitioned across many servers. Consistent hashing is used to map data to the servers that store the data. When new servers are added or removed, consistent hashing minimizes the amount of data that needs to be remapped to different servers. - Source: dev.to / 10 days ago
On the other hand, NoSQL databases are non-relational databases. They store data in flexible, JSON-like documents, key-value pairs, or wide-column stores. Examples include MongoDB, Couchbase, and Cassandra. - Source: dev.to / about 1 month ago
HBase and Cassandra: Both cater to non-structured Big Data. Cassandra is geared towards scenarios requiring high availability with eventual consistency, while HBase offers strong consistency and is better suited for read-heavy applications where data consistency is paramount. - Source: dev.to / 3 months ago
Dear r/python, we are happy to present you with our first open-source project. We have managed to implement a new driver for Python that works with Apache Cassandra, ScyllaDB and AWS Keyspaces. Source: 8 months ago
NoSQL is a term that we have become very familiar with in recent times and it is used to describe a set of databases that don't make use of SQL when writing & composing queries. There are loads of different types of NoSQL databases ranging from key-value databases like the Reddis to document-oriented databases like MongoDB and Firestore to graph databases like Neo4J to multi-paradigm databases like FaunaDB and... - Source: dev.to / 9 months ago
VictoriaMetrics - Cost-effective database for huge amounts of time series data
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
Prometheus - An open-source systems monitoring and alerting toolkit.
Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.
InfluxData - Scalable datastore for metrics, events, and real-time analytics.
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.