Oracle Autonomous Transaction Processing vs. SingleStore

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Oracle Autonomous Transaction Processing
Score 9.0 out of 10
N/A
Oracle offers the Autonomous Transaction Processing, supporting database self-repair and maintenance with machine learning to eliminate human labor, human error, and manual tuning.
$1.34
OCPU Per Hour
SingleStore
Score 7.5 out of 10
N/A
SingleStore aims to enable organizations to scale from one to one million customers, handling SQL, JSON, full text and vector workloads in one unified platform.
$0.69
per hour
Pricing
Oracle Autonomous Transaction ProcessingSingleStore
Editions & Modules
Transaction Processing
$1.34
OCPU Per Hour
Exadata Storage
$118.40
Per Terabyte Per month
OnDemand
$0.69
per hour
Offerings
Pricing Offerings
Oracle Autonomous Transaction ProcessingSingleStore
Free Trial
YesYes
Free/Freemium Version
YesYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeOptionalOptional
Additional Details
More Pricing Information
Community Pulse
Oracle Autonomous Transaction ProcessingSingleStore
Considered Both Products
Oracle Autonomous Transaction Processing
Chose Oracle Autonomous Transaction Processing
Both Azure SQL Database and Oracle Autonomous Transaction Processing offer a powerful and robust database platform. The advantage of Autonomous Transaction Processing is the ability to host APEX applications for free and without any special/complicated deployment or …
SingleStore
Chose SingleStore
I can only compare it with Exasol, which I have used a similar base, which manages the Hadoop scheme and is very similar to SingleStore. SingleStore has many advantages: being in the cloud, with just a couple of clicks I can increase the capacity, the configuration is super …
Chose SingleStore
first of all SingleStoreis a cluster with high availability and easy to use.
you need to design you tables / procedures such in a way that your SingleStore perform well and with handle heavy load
Chose SingleStore
Reduces database sprawl, ETL costs, infrastructure expenses, etc. Supports horizontal scaling, unlike PostgreSQL & Aurora, and real-time analytics and fast transactions (HTAP), unlike Snowflake & ClickHouse.Handles high-volume workloads with thousands of concurrent queries. No …
Chose SingleStore
SingleStore (memsql) out performs based on our analysis with sample data sets within org. We could see limitations with other products which SingleStore can overcall like scaling with data while performing with similar SLA. It also has the advantage of row store and column …
Chose SingleStore
Efficient and faster data ingestion was primary criteria.
Chose SingleStore
SingleStore outperforms Snowflake in real-time analytics and transactional workloads but lags in large-scale batch processing. Compared to MongoDB Atlas, SingleStore excels in complex SQL queries and joins, while MongoDB handles unstructured, document-based data better. Its …
Chose SingleStore
Greenplum is good in handling very large amount of data. Concurrency in Greenplum was a major problem. Features available in SingleStore like Pipelines and in memory features are not available in Greenplum.

Gemfire was not scaling well like SingleStore. Support of both …
Chose SingleStore
We previously used Bigquery for our application, and a single store gave us very good performance over Bigquery. But the comparison is not apples to apples, as Bigquery is more of a data warehousing solution.
Chose SingleStore
SingleStore is just a bigger engine with more capability. Its ability to handle larger data sets with ease is its biggest advantage. These other database solutions are great for smaller scale projects that don't include large data sets but Singlestore greatly out performs in …
Chose SingleStore
DynamoDB was fast but no ability to do OLAP queries

Aurora couldn't handle our data scale at all
Chose SingleStore
It has more APIs and other access methods. It has a multi-version concurrency control (MVCC) Distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in …
Chose SingleStore
Its easier to query and faster. Ingestion is for the most part easier to understand and monitor and directly integrated with other storage solution products we use such as AWS S3. Singlestore overall is a better database to serve up an application large amounts of data very …
Chose SingleStore
ClickHouse - would still require us to have a separate db.
ElasticSearch - seemed too complex for us.
Chose SingleStore
SingleStore provided the best performance for our need to slice and dice for a large columnar dataset.
Chose SingleStore
SingleStore is built for fast data ingestion and fast queries against large tables (> billions of rows). This is possible because of the column store engine that SingleStore uses. SingleStore also support a memory engine. Pipelines is also another big advantage. Being able to …
Chose SingleStore
SingleStore has outperformed these in speed and performance. However it is more expensive but has been worth the cost so far.
Chose SingleStore
We knew early on that MySQL (Amazon Aurora) would not be suitable for this workload as it cannot query our time series data as fast as SingleStore. We also use MongoDB Atlas for another application but we could not achieve the raw speed we saw from SingleStore. Our technical …
Chose SingleStore
We were initially using AWS Aurora which worked well at the time but as we grew it just felt like a lumbering beast - even with tier upgrades. We started looking at caching & search options to help make searches faster - we were already using redis. We looked at and even …
Chose SingleStore
Timescale was the biggest alternative option we looked at for SingleStore, however the requirement to learn a new syntax (due to not being SQL compatible) was our biggest pain point.

Supporting a new language would require alterations to the Laravel framework, as this only …
Chose SingleStore
SingleStore provides an abstraction layer in managing a sharded database solution reducing complexity for the FLOWD team. Coupled with the SingleStore Managed Service, we are partnering with SingleStore to provide FLOWD services to various utilities & councils.
Chose SingleStore
SingleStore is eons faster than other database providers, and it absolutely crushes calculations & aggregations. While other providers may have a few quality of life enhancements over SingleStore, the speed benefits of SS far outweigh the cons. At the end of the day, speed …
Chose SingleStore
SingleStore provides performance for real-time data analytics application where as Snowflake is more for data engineers and not fast enough for real-time data analytics apps.
Chose SingleStore
As I said before, we felt that running queries on BigQuery for every query is really slow, especially from an user point of view. After seeing the drastically improved latency of SingleStore we decided to use to solve this issue. We currently use it to run low volume queries …
Chose SingleStore
SingleStore was the fastest sql database we have tried, allowing for analytical queries on TBs of data.
Best Alternatives
Oracle Autonomous Transaction ProcessingSingleStore
Small Businesses
IBM Cloudant
IBM Cloudant
Score 7.4 out of 10
InterSystems IRIS
InterSystems IRIS
Score 7.7 out of 10
Medium-sized Companies
IBM Cloudant
IBM Cloudant
Score 7.4 out of 10
InterSystems IRIS
InterSystems IRIS
Score 7.7 out of 10
Enterprises
IBM Cloudant
IBM Cloudant
Score 7.4 out of 10
SAP IQ
SAP IQ
Score 10.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Oracle Autonomous Transaction ProcessingSingleStore
Likelihood to Recommend
9.1
(0 ratings)
7.6
(0 ratings)
Likelihood to Renew
-
(0 ratings)
8.2
(0 ratings)
Usability
7.3
(0 ratings)
8.2
(0 ratings)
Availability
-
(0 ratings)
9.1
(0 ratings)
Performance
-
(0 ratings)
8.2
(0 ratings)
Support Rating
-
(0 ratings)
8.3
(0 ratings)
Online Training
-
(0 ratings)
7.3
(0 ratings)
Implementation Rating
-
(0 ratings)
7.3
(0 ratings)
Ease of integration
-
(0 ratings)
9.1
(0 ratings)
Product Scalability
-
(0 ratings)
8.2
(0 ratings)
Vendor post-sale
-
(0 ratings)
8.2
(0 ratings)
Vendor pre-sale
-
(0 ratings)
8.2
(0 ratings)
User Testimonials
Oracle Autonomous Transaction ProcessingSingleStore
Likelihood to Recommend
If your company's value is not increased by maintaining databases, you should use the ATP.
Read full review
Well-Suited Scenarios: Real-Time Analytics: Financial trading platforms requiring instant insights. Operational Dashboards: Retail businesses monitoring live sales. IoT Data Processing: Smart device monitoring with high data ingestion. Fraud Detection: Banks detect suspicious transactions instantly. Less Appropriate Scenarios: Archival Storage: Cold data storage with infrequent access. Low-Volume Workloads: Small-scale apps with minimal data processing needs. Complex ETL Pipelines: Heavy data transformations without real-time demands.
Read full review
Pros
  • Quick and simple to deploy (less than 5 steps to create a new instance)
  • No administrative tasks (backup, re-sizing) required
Read full review
  • Return results of complex queries scanning TBs of data in sub-seconds.
  • Customer support team answer tickets quickly and provide guidance.
  • MySQL engine which allows to query using simple MySQL drivers from different clients.
  • Queries profiling is easy to use and helps investigating performance.
Read full review
Cons
  • Connectivity between ATP and Oracle Kuberentes Engine cluster seems to drop randomly
  • The ATP could come in an even smaller shape as the smallest shape is already quite big . But if must be more than always free, as that version does have connectivity limitations about 20 connections
Read full review
  • It does not release a patch to have back porting; it just releases a new version and stops support; it's difficult to keep up to that pace.
  • Support engineers lack expertise, but they seem to be improving organically.
  • Lacks enterprise CDC capability: Change data capture (CDC) is a process that tracks and records changes made to data in a database and then delivers those changes to other systems in real time.
  • For enterprise-level backup & restore capability, we had to implement our model via Velero snapshot backup.
Read full review
Likelihood to Renew
No answers on this topic
We haven't seen a faster relation database. Period. Which is why we are super happy customers and will for sure renew our license.
Read full review
Usability
You get almost all the features of Oracle Database, including the ability to deploy APEX applications, without having to worry about system, storage or database configuration and maintenance, backups, etc. Also, you can start for free and move up adding resources as you need.
Read full review
[Until it is] supported on AWS ECS containers, I will reserve a higher rating for SingleStore. Right now it works well on EC2 and serves our current purpose, [but] would look forward to seeing SingleStore respond to our urge of feature in a shorter time period with high quality and security.
Read full review
Reliability and Availability
No answers on this topic
I really can't remember a time when it was not available
Read full review
Performance
No answers on this topic
When it comes to ingestion speed, SingleStore is probably at the top. Being able to create pipelines using SQL to ingest data from S3, Kafka, and other sources, is a great advantages. This means you can dynamically ingest data by customizing your SQL queries. SingleStore pipelines are pretty sophisticated, yet very simple. Few lines of codes and you are ingesting data, while still able to perform analytical queries on your billions of row tables.
Read full review
Support Rating
No answers on this topic
The support deep dives into our most complexed queries and bizarre issues that sometimes only we get comparing to other clients. Our special workload (thousands of Kafka pipelines + high concurrency of queries). The response match to the priority of the request, P1 gets immediate return call. Missing features are treated, they become a client request and being added to the roadmap after internal consideration on all client needs and priority. Bugs are patched quite fast, depends on the impact and feasible temporary workarounds. There is no issue that we haven't got a proper answer, resolution or reasoning
Read full review
Online Training
No answers on this topic
Would prefer in person training but for online training, it's almost as good as in person
Read full review
Implementation Rating
No answers on this topic
We allowed 2-3 months for a thorough evaluation. We saw pretty quickly that we were likely to pick SingleStore, so we ported some of our stored procedures to SingleStore in order to take a deeper look. Two SingleStore people worked closely with us to ensure that we did not have any blocking problems. It all went remarkably smoothly.
Read full review
Alternatives Considered
Both Azure SQL Database and Oracle Autonomous Transaction Processing offer a powerful and robust database platform. The advantage of Autonomous Transaction Processing is the ability to host APEX applications for free and without any special/complicated deployment or configuration process. Having a rapid development environment embedded for free was the main advantage for choosing Oracle as my cloud database provider.
Read full review
Reduces database sprawl, ETL costs, infrastructure expenses, etc. Supports horizontal scaling, unlike PostgreSQL & Aurora, and real-time analytics and fast transactions (HTAP), unlike Snowflake & ClickHouse.Handles high-volume workloads with thousands of concurrent queries. No need for ETL processes, unlike BigQuery & Snowflake. Works with JSON, relational, and key-value data, unlike ClickHouse.
Read full review
Scalability
No answers on this topic
Very reliable. Coming from mariadb, singlestore has made our application more reliable and faster!
Read full review
Return on Investment
  • Approx 100 times faster spin up than manual setup of an Oracle DB
  • 3h annual maintenance for big version releases (18c to 19c) compared to est. 500h annual maintenance with manual database updates
Read full review
  • Lower operational complexity - Installation and maintenance is pretty easy
  • Object scale when used can compete with Traditional Warehouse Systems like Teradata, Netezza, Greenplum
  • Adds lot of value to the business like couple of operations which never worked in traditional DBMS including HANA, Oracle In Memory, SQL Server In Memory just flew in SingleStore
Read full review
ScreenShots

Oracle Autonomous Transaction Processing Screenshots

Screenshot of Autonomous Transaction Processing Database takes automatic backupsScreenshot of Provisioning a new Autonomous Transaction Processing is simpleScreenshot of Autonomous Transaction Processing Database  ConsoleScreenshot of Auto scaling and manual scaling options of the database