Compare InfluxDB vs. Scylla

Cancel
You must select at least 2 products to compare!
InfluxDB Logo
2,333 views|1,978 comparisons
Scylla Logo
1,716 views|1,596 comparisons
Find out what your peers are saying about MongoDB, Cloudera, Apache and others in NoSQL Databases. Updated: November 2020.
447,718 professionals have used our research since 2012.
Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

report
Use our free recommendation engine to learn which NoSQL Databases solutions are best for your needs.
447,718 professionals have used our research since 2012.
Questions from the Community
Top Answer: The solution is very powerful.
Top Answer: The solution doesn't have much of a user interface. The integration of Chronograf and Capacitor is not so good. They could work to make it better.
Top Answer: I primarily use the solution for database storage.
Ask a question

Earn 20 points

Ranking
4th
out of 16 in NoSQL Databases
Views
2,333
Comparisons
1,978
Reviews
1
Average Words per Review
343
Avg. Rating
9.0
8th
out of 16 in NoSQL Databases
Views
1,716
Comparisons
1,596
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
Popular Comparisons
Compared 42% of the time.
Compared 26% of the time.
Compared 6% of the time.
Compared 4% of the time.
Compared 36% of the time.
Compared 14% of the time.
Compared 14% of the time.
Compared 9% of the time.
Compared 7% of the time.
Learn
InfluxDB
ScyllaDB
Overview

InfluxData delivers a modern open source platform built from the ground up for metrics and events (time-sensitive data). Build monitoring, analytics, and IoT applications faster, easier, and to scale.

This technically is know as time-series data. With InfluxData you can build monitoring, analytics, and IoT applications faster, easier, and to scale. Today, there are different general purpose ways to handle time-based data. But they slow you down with dependencies and complexities or fail to scale. InfluxData is the only purpose-built complete platform for any time-based data — from humans, sensors, or machines — seamlessly collecting, storing, visualizing, and turning insight into action. With both fast deployment and fast performance, InfluxData delivers real value in real time.

Scylla is an open source drop-in replacement for Apache Cassandra with scale-up performance of 1,000,000 IOPS per node, scale-out to hundreds of nodes and 99% latency of < 1msec.  Available as a managed service (Scylla Cloud), on popular cloud providers or on-prem

Offer
Learn more about InfluxDB
Learn more about Scylla
Sample Customers
ebay, AXA, Mozilla, DiDi, LeTV, Siminars, Cognito, ProcessOut, Recommend, CATS, Smarsh, Row 44, Clustree, BleemeoIBM, Investing.com, mParticle, Comcast, GE, Fanatics, Ola, CERN, adgear, Samsung
Top Industries
VISITORS READING REVIEWS
Comms Service Provider30%
Computer Software Company22%
K 12 Educational Company Or School8%
Manufacturing Company8%
VISITORS READING REVIEWS
Comms Service Provider29%
Computer Software Company21%
Manufacturing Company10%
Retailer8%
Find out what your peers are saying about MongoDB, Cloudera, Apache and others in NoSQL Databases. Updated: November 2020.
447,718 professionals have used our research since 2012.
InfluxDB is ranked 4th in NoSQL Databases with 2 reviews while Scylla is ranked 8th in NoSQL Databases. InfluxDB is rated 8.6, while Scylla is rated 0.0. The top reviewer of InfluxDB writes "Good log aggregation features and integration with Grafana". On the other hand, InfluxDB is most compared with MongoDB, Cassandra, Apache HBase, Cloudera Distribution for Hadoop and Oracle NoSQL, whereas Scylla is most compared with MongoDB, Apache HBase, Aerospike Database, DataStax and Couchbase.

See our list of best NoSQL Databases vendors.

We monitor all NoSQL Databases reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.