Warp 10 Alternatives & Competitors
(3)4.0 out of 5
Looking for alternatives to Warp 10? Tons of people want Time Series Databases Software. What's difficult is finding out whether or not the software you choose is right for you. Azure Time Series Insights, Redis Enterprise, Druid, and Trendalyze are the most popular alternatives and competitors to Warp 10.
Top Alternatives to Warp 10
- Azure Time Series Insights
- Redis Enterprise
- Druid
- Trendalyze
- Avora
- Google Cloud BigTable
- InfluxDB
- Anodot
- Azure Time Series Insights(43)4.1 out of 5
Azure Time Series Insights is a fully managed analytics, storage, and visualization service for managing IoT-scale time-series data in the cloud. It provides massively scalable time-series data storage and enables you to explore and analyze billions of events streaming in from all over the world in seconds.
Categories in common with Warp 10: - Redis Enterprise(30)4.3 out of 5
Redis Enterprise is a managed cloud service for hosting and running your redis dataset with predictable performance.
Categories in common with Warp 10: - Druid(29)4.2 out of 5
Open source streaming data store for interactive analytics at scale.
Categories in common with Warp 10: - Trendalyze(19)4.6 out of 5
Trendalyze is the first motif discovery platform to visualize, search, and monitor for recurring time-series patterns. It is built specifically to scale for big data and IoT sensor data in order to monetize data patterns.
Categories in common with Warp 10: - Avora(28)3.8 out of 5Optimized for quick response
Easy to use business intelligence platform built for company wide collaboration. Business user friendly. Any data source and an unlimited amount of data
Categories in common with Warp 10: - Google Cloud BigTable(26)4.3 out of 5
Google Cloud Bigtable is a distributed storage system for managing structured data that is designed to scale to a very large size: petabytes of data across thousands of commodity servers.
Categories in common with Warp 10: - InfluxDB(23)4.6 out of 5
InfluxDB is the open source time series database
Categories in common with Warp 10: - Anodot(21)4.4 out of 5
Anodot provides real time operational business insights using machine learning algorithms.
Categories in common with Warp 10: - Prometheus(21)4.4 out of 5
An open-source service monitoring system and time series database.
Categories in common with Warp 10: - Amazon Timestream(20)3.6 out of 5
Amazon Timestream is a fast, scalable, fully managed time series database service for IoT and operational applications that makes it easy to store and analyze trillions of events per day at 1/10th the cost of relational databases. Driven by the rise of IoT devices, IT systems, and smart industrial machines, time-series data, data that measures how things change over time, is one of the fastest growing data types.
Categories in common with Warp 10: - Google Cloud Interference API(19)4.2 out of 5
Quickly run large-scale correlations over typed time-series datasets.
Categories in common with Warp 10: - TrendMiner(16)4.3 out of 5
Self-service analytics solution that helps you optimize manufacturing processes by monitoring and predicting process behavior.
Categories in common with Warp 10: - DataStax(13)4.2 out of 5Optimized for quick response
Big data platform built on Apache Cassandra.
Categories in common with Warp 10: - Amazon Forecast(13)3.8 out of 5
Amazon Forecast is a fully managed service that uses machine learning to deliver highly accurate forecasts.
Categories in common with Warp 10: - InfluxData Platform(12)4.0 out of 5
Open source distributed time series, events, and metrics database
Categories in common with Warp 10: - QuestDB(9)5.0 out of 5
QuestDB is the fastest open source time series database on the market. We are a SQL-based TSDB designed from the ground up to provide time series data faster.
Categories in common with Warp 10: - Seeq(6)4.3 out of 5
With Seeq, you and your team can rapidly investigate and share analyses from operations and manufacturing data sources to find insights and answer questions. Designed specifically for analyzing process data, Seeq works across all verticals with time series data in historians or other storage platforms.
Categories in common with Warp 10: - Wavefront(6)3.9 out of 5
Wavefront is a metrics monitoring service for cloud and modern application environments.
Categories in common with Warp 10: - CrateDB(3)4.7 out of 5
Crate.io is a distributed, document-oriented database designed to be used with traditional SQL syntax.
Categories in common with Warp 10: - QuasarDB(3)4.3 out of 5
QuasarDB is a high-performance, distributed, time series database. QuasarDB has been designed to handle the most extreme time series use cases in financial applications. It seamlessly combines, in a single product, in-memory database capabilities with efficient, reliable long-term storage. Scalability is transparent, whether it's for very large and dense time series or millions of smaller ones.
Categories in common with Warp 10:
#1
SE
I like the notifications received and the ease of getting to my ticket
#2
LP
It took me less than 10 seconds to get set up. When I ran out of memory, I managed to upgrade within a minute.
#3
CC
easy integration with existing framework , good fit for realtime analytics which need to be performant
#4
UC
We embedded Trendalyze in our AtomSail BI Cloud application to be able to monitor operational processes.
#5
UL
The reports are relatively easy to compile and can be manipulated to show different time frames.
#6
CC
Bigtable is a No-SQL Database and it is more Dynamodb, and with Dataflow you can do ETL faster.
#7
NN
real-time analytics, providing REST API, web UI, query language
#8
AC
Well, fundamentally, it works! Anodot spotted anomalies within the data we had and was able to inform us of changes or unexpected behaviours that enabled us to get on the front foot and have a more...Read more
#9
CC
It is very simple to use and has no external dependencies. It has a powerful query language to retrieve and evaluate metrics.
#10
UM
You don't have to manage a million servers with Timestream because it automatically scales up or down to adjust capacity and performance. This allows you to be able to put your efforts into...Read more
#11
NG
It has lot of flexibility.
It is around 10% to 12% cheaper
Very easy to customize
Less access time
#12
RV
Great capability to search for data and do analytics
Great value to upgrade the performance of your Power Plant.
Trendminer is a learning platform and always upgrading
#13
DL
Our data was decentralized. It has therefore become indispensable to implement a customer master data management solution to deploy a consolidated vision of our clients in one single point.
#14
SB
I enjoy the financial planning, resource planning and product demand planning. You can secure your business data and reduce forecasting time from months to hours.When the business purchased the...Read more
#15
DE
The syntax is intuitive and easy to learn, as it is very similar to standard SQL queries. Learning the different aggregations and advanced features takes some time, but afterwards they are very...Read more
#16
🤷S
QuestDB is super fast, and allows me to store and query enormous volumes of data very quickly. I have sensors writing data to QuestDB more than once per second, and it is a significant volume of...Read more
#17
UC
Seeq is super helpful when it comes to editing, adding, searching though data while collaborating with coworkers in real time.
#18
CF
Wavefront offers an extensive catalog of monitoring tools for all sorts of resources and metrics. It includes integrations into tons of well known application and application providers, and allows...Read more
#19
UC
I have never seen this speed in SQL queries before that happens in real time.
#20
CI
The performance of numerical calculations is superb -- when offloading calculations / aggregates to the database, it is able to achieve stellar performance.
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